public static void LeastSquares(Matrix x, Matrix A, Matrix b)
{
// use svd
// for overdetermined systems A*x = b
// x = V * diag(1/wj) * U T * b
// NRC p. 66
int m = A.m;
int n = A.n;
Matrix U = new Matrix(m, n), V = new Matrix(n, n), w = new Matrix(n, 1), W = new Matrix(n, n);
A.SVD(U, w, V);
w.Reciprocal();
W.Diag(w);
Matrix M = new Matrix(n, n);
M.Mult(V, W);
Matrix N = new Matrix(n, m);
N.MultAAT(M, U);
x.Mult(N, b);
}
public static void PlanarDLT(Matrix cameraMatrix, Matrix distCoeffs, List <Matrix> worldPoints, List <System.Drawing.PointF> imagePoints, Matrix Rplane, Matrix Tplane, out Matrix R, out Matrix t)
{
// transform world points to plane
int n = worldPoints.Count;
var worldPlanePoints = new List <Matrix>();
for (int i = 0; i < n; i++)
{
var planePoint = new Matrix(3, 1);
planePoint.Mult(Rplane, worldPoints[i]);
planePoint.Add(Tplane);
worldPlanePoints.Add(planePoint);
}
var Rdlt = new Matrix(3, 3);
var Tdlt = new Matrix(3, 1);
PlanarDLT(cameraMatrix, distCoeffs, worldPlanePoints, imagePoints, out Rdlt, out Tdlt);
R = new Matrix(3, 3);
t = new Matrix(3, 1);
t.Mult(Rdlt, Tplane);
t.Add(Tdlt);
R.Mult(Rdlt, Rplane);
}
public void DepthImageToColorImage(double depthX, double depthY, double depthMeters, out double colorX, out double colorY)
{
double xUndistorted, yUndistorted;
// convert to depth camera space
float fx = (float)depthCameraMatrix[0, 0];
float fy = (float)depthCameraMatrix[1, 1];
float cx = (float)depthCameraMatrix[0, 2];
float cy = (float)depthCameraMatrix[1, 2];
float[] kappa = new float[] { (float)depthLensDistortion[0], (float)depthLensDistortion[1] };
// flip y because our calibration expects y up (right handed coordinates at all times)
CameraMath.Undistort(fx, fy, cx, cy, kappa, depthX, (depthImageHeight - depthY), out xUndistorted, out yUndistorted);
var depthCamera = new Matrix(4, 1);
depthCamera[0] = xUndistorted * depthMeters;
depthCamera[1] = yUndistorted * depthMeters;
depthCamera[2] = depthMeters;
depthCamera[3] = 1;
// convert to color camera space
var colorCamera = new Matrix(4, 1);
colorCamera.Mult(depthToColorTransform, depthCamera);
// project to color image
CameraMath.Project(colorCameraMatrix, colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorX, out colorY);
// convert back to Y down
colorY = colorImageHeight - colorY;
}
public void DepthImageToColorImage(int depthX, int depthY, double depthMeters, System.Drawing.PointF[] depthFrameToCameraSpaceTable, out double colorX, out double colorY)
{
double xUndistorted, yUndistorted;
// convert to depth camera space
// use lookup table to perform undistortion; this will be faster when converting lots of points
// this matches the Kinect SDK's depthFrameToCameraSpace table (y down)
var point = depthFrameToCameraSpaceTable[depthY * Kinect2Calibration.depthImageWidth + depthX];
xUndistorted = point.X;
yUndistorted = point.Y;
var depthCamera = new Matrix(4, 1);
depthCamera[0] = xUndistorted * depthMeters;
depthCamera[1] = yUndistorted * depthMeters;
depthCamera[2] = depthMeters;
depthCamera[3] = 1;
// convert to color camera space
var colorCamera = new Matrix(4, 1);
colorCamera.Mult(depthToColorTransform, depthCamera);
// project to color image
CameraMath.Project(colorCameraMatrix, colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorX, out colorY);
// convert back to Y down
colorY = colorImageHeight - colorY;
}
public void ColorImageToDepthImage(double colorX, double colorY, ShortImage depthImage, out Matrix depthPoint, out double depthX, out double depthY)
{
double xUndistorted, yUndistorted;
// convert to color camera space
float fx = (float)colorCameraMatrix[0, 0];
float fy = (float)colorCameraMatrix[1, 1];
float cx = (float)colorCameraMatrix[0, 2];
float cy = (float)colorCameraMatrix[1, 2];
float[] kappa = new float[] { (float)colorLensDistortion[0], (float)colorLensDistortion[1] };
// flip y because our calibration expects y up (right handed coordinates at all times)
CameraMath.Undistort(fx, fy, cx, cy, kappa, colorX, (colorImageHeight - colorY), out xUndistorted, out yUndistorted);
var colorToDepthTransform = new Matrix(4, 4);
colorToDepthTransform.Inverse(depthToColorTransform);
var colorPoint = new Matrix(4, 1);
depthPoint = new Matrix(4, 1);
depthX = 0; depthY = 0;
// walk along ray in color camera
bool found = false;
for (int s = 400; (s < 4500) && !found; s++) // TODO: confirm these limits (mm)
{
// convert to a 3D point along ray, in meters
colorPoint[0] = xUndistorted * s / 1000.0;
colorPoint[1] = yUndistorted * s / 1000.0;
colorPoint[2] = s / 1000.0;
colorPoint[3] = 1;
// transform to depth camera 3D point and project
depthPoint.Mult(colorToDepthTransform, colorPoint);
CameraMath.Project(depthCameraMatrix, depthLensDistortion, depthPoint[0], depthPoint[1], depthPoint[2], out depthX, out depthY);
int x = (int)depthX;
// Y down, since we are indexing into an image
int y = depthImageHeight - (int)depthY;
if ((x >= 0) && (x < depthImageWidth) && (y >= 0) && (y < depthImageHeight))
{
int z = depthImage[x, y];
if ((z != 0) && (z < s))
{
found = true;
}
}
}
// convert back to Y down
depthY = depthImageHeight - depthY;
}
public void ColorImageToDepthImage(int colorX, int colorY, ShortImage depthImage, System.Drawing.PointF[] colorFrameToCameraSpaceTable, out Matrix depthPoint, out double depthX, out double depthY)
{
double xUndistorted, yUndistorted;
// convert to color camera space
// use lookup table to perform undistortion; this will be faster when converting lots of points
var point = colorFrameToCameraSpaceTable[colorY * Kinect2Calibration.colorImageWidth + colorX];
xUndistorted = point.X;
yUndistorted = point.Y;
var colorToDepthTransform = new Matrix(4, 4);
colorToDepthTransform.Inverse(depthToColorTransform);
var colorPoint = new Matrix(4, 1);
depthPoint = new Matrix(4, 1);
depthX = 0; depthY = 0;
// walk along ray in color camera
bool found = false;
for (int s = 400; (s < 4500) && !found; s++) // TODO: confirm these limits (mm)
{
// convert to a 3D point along ray, in meters
colorPoint[0] = xUndistorted * s / 1000.0;
colorPoint[1] = yUndistorted * s / 1000.0;
colorPoint[2] = s / 1000.0;
colorPoint[3] = 1;
// transform to depth camera 3D point and project
depthPoint.Mult(colorToDepthTransform, colorPoint);
CameraMath.Project(depthCameraMatrix, depthLensDistortion, depthPoint[0], depthPoint[1], depthPoint[2], out depthX, out depthY);
int x = (int)depthX;
// Y down, since we are indexing into an image
int y = depthImageHeight - (int)depthY;
if ((x >= 0) && (x < depthImageWidth) && (y >= 0) && (y < depthImageHeight))
{
int z = depthImage[x, y];
if ((z != 0) && (z < s))
{
found = true;
}
}
}
// convert back to Y down
depthY = depthImageHeight - depthY;
}
public void ColorImageToDepthImage(double colorX, double colorY, ShortImage depthImage, out Matrix depthPoint, out double depthX, out double depthY)
{
double xUndistorted, yUndistorted;
// convert to color camera space
float fx = (float)colorCameraMatrix[0, 0];
float fy = (float)colorCameraMatrix[1, 1];
float cx = (float)colorCameraMatrix[0, 2];
float cy = (float)colorCameraMatrix[1, 2];
float[] kappa = new float[] { (float)colorLensDistortion[0], (float)colorLensDistortion[1] };
// flip y because our calibration expects y up (right handed coordinates at all times)
CameraMath.Undistort(fx, fy, cx, cy, kappa, colorX, (colorImageHeight - colorY), out xUndistorted, out yUndistorted);
var colorToDepthTransform = new Matrix(4, 4);
colorToDepthTransform.Inverse(depthToColorTransform);
var colorPoint = new Matrix(4, 1);
depthPoint = new Matrix(4, 1);
depthX = 0; depthY = 0;
// walk along ray in color camera
bool found = false;
for (int s = 400; (s < 4500) && !found; s++) // TODO: confirm these limits (mm)
{
// convert to a 3D point along ray, in meters
colorPoint[0] = xUndistorted * s / 1000.0;
colorPoint[1] = yUndistorted * s / 1000.0;
colorPoint[2] = s / 1000.0;
colorPoint[3] = 1;
// transform to depth camera 3D point and project
depthPoint.Mult(colorToDepthTransform, colorPoint);
CameraMath.Project(depthCameraMatrix, depthLensDistortion, depthPoint[0], depthPoint[1], depthPoint[2], out depthX, out depthY);
int x = (int)depthX;
// Y down, since we are indexing into an image
int y = depthImageHeight - (int)depthY;
if ((x >= 0) && (x < depthImageWidth) && (y >= 0) && (y < depthImageHeight))
{
int z = depthImage[x, y];
if ((z != 0) && (z < s))
found = true;
}
}
// convert back to Y down
depthY = depthImageHeight - depthY;
}
public static void TestPlanarDLT()
{
var cameraMatrix = Matrix.Identity(3, 3);
cameraMatrix[0, 0] = 300;
cameraMatrix[1, 1] = 300;
cameraMatrix[0, 2] = 250;
cameraMatrix[1, 2] = 220;
var distCoeffs = new Matrix(5, 1);
distCoeffs[0] = 0.05;
distCoeffs[1] = -0.1;
// generate a bunch of points in a plane
// project under some other camera (view)
var R = new Matrix(3, 3);
R.RotEuler2Matrix(0.3, -0.2, 0.6);
var t = new Matrix(3, 1);
t[0] = 0.2;
t[1] = 0.3;
t[2] = 2;
var modelR = new Matrix(3, 3);
modelR.RotEuler2Matrix(-0.6, 0.2, 0.3);
var modelT = new Matrix(3, 1);
modelT[0] = -0.1;
modelT[1] = 1.0;
modelT[2] = 1.5;
var worldPoints = new List<Matrix>();
var worldTransformedPoints = new List<Matrix>();
var imagePoints = new List<System.Drawing.PointF>();
var zero3 = Matrix.Zero(3, 1);
for (float y = -1f; y <= 1.0f; y += 0.2f)
for (float x = -1f; x <= 1.0f; x += 0.2f)
{
var model = new Matrix(3, 1);
model[0] = x;
model[1] = y;
model[2] = 0;
var noise = Matrix.GaussianSample(zero3, 0.1 * 0.1);
var world = new Matrix(3, 1);
world.Mult(modelR, model);
world.Add(modelT);
world.Add(noise);
worldPoints.Add(world);
// under some camera:
var worldTransformed = new Matrix(3, 1);
worldTransformed.Mult(R, world);
worldTransformed.Add(t);
worldTransformedPoints.Add(worldTransformed);
double u, v;
Project(cameraMatrix, distCoeffs, worldTransformed[0], worldTransformed[1], worldTransformed[2], out u, out v);
var image = new System.Drawing.PointF();
image.X = (float)u;
image.Y = (float)v;
imagePoints.Add(image);
}
Console.WriteLine("R\n" + R);
Console.WriteLine("t\n" + t);
var Rplane = new Matrix(3, 1);
var Tplane = new Matrix(3, 1);
PlaneFit(worldPoints, out Rplane, out Tplane);
var Rest = new Matrix(3, 3);
var test = new Matrix(3, 1);
PlanarDLT(cameraMatrix, distCoeffs, worldPoints, imagePoints, Rplane, Tplane, out Rest, out test);
Console.WriteLine("Rest\n" + Rest);
Console.WriteLine("test\n" + test);
}
public static void TestDLT()
{
var cameraMatrix = Matrix.Identity(3, 3);
cameraMatrix[0, 0] = 700;
cameraMatrix[1, 1] = 700;
cameraMatrix[0, 2] = 250;
cameraMatrix[1, 2] = 220;
var distCoeffs = new Matrix(5, 1);
distCoeffs[0] = 0.05;
distCoeffs[1] = -0.1;
// generate a bunch of points in a volume
// project under some other camera (view)
var R = new Matrix(3, 3);
R.RotEuler2Matrix(0.2, 0.3, 0.3);
var t = new Matrix(3, 1);
t[0] = 2;
t[1] = 0;
t[2] = -4;
var modelPoints = new List<Matrix>();
var imagePoints = new List<System.Drawing.PointF>();
var zero3 = Matrix.Zero(3, 1);
for (float z = 1f; z <= 3.0f; z += 0.4f)
for (float y = -1f; y <= 1.0f; y += 0.4f)
for (float x = -1f; x <= 1.0f; x += 0.4f)
{
var model = new Matrix(3, 1);
model[0] = x;
model[1] = y;
model[2] = z;
modelPoints.Add(model);
// under our camera:
var transformedPoint = new Matrix(3, 1);
transformedPoint.Mult(R, model);
transformedPoint.Add(t);
var noise = Matrix.GaussianSample(zero3, 0.1 * 0.1);
transformedPoint.Add(noise);
double u, v;
Project(cameraMatrix, distCoeffs, transformedPoint[0], transformedPoint[1], transformedPoint[2], out u, out v);
var image = new System.Drawing.PointF();
image.X = (float)u;
image.Y = (float)v;
imagePoints.Add(image);
}
Console.WriteLine("x = [");
for (int i = 0; i < imagePoints.Count; i++)
Console.WriteLine("{0} {1}", imagePoints[i].X, imagePoints[i].Y);
Console.WriteLine("]';");
Console.WriteLine("X = [");
for (int i = 0; i < modelPoints.Count; i++)
Console.WriteLine("{0} {1} {2}", modelPoints[i][0], modelPoints[i][1], modelPoints[i][2]);
Console.WriteLine("]';");
Console.WriteLine("fc = [{0} {1}];", cameraMatrix[0, 0], cameraMatrix[1, 1]);
Console.WriteLine("cc = [{0} {1}];", cameraMatrix[0, 2], cameraMatrix[1, 2]);
Console.WriteLine("kc = [{0} {1} 0 0 0];", distCoeffs[0], distCoeffs[1]);
Console.WriteLine();
Console.WriteLine("R\n" + R);
Console.WriteLine("t\n" + t);
var Rest = new Matrix(3, 3);
var test = new Matrix(3, 1);
DLT(cameraMatrix, distCoeffs, modelPoints, imagePoints, out Rest, out test);
Console.WriteLine("Rest\n" + Rest);
Console.WriteLine("test\n" + test);
}
public static void PlanarDLT(Matrix cameraMatrix, Matrix distCoeffs, List<Matrix> worldPoints, List<System.Drawing.PointF> imagePoints, Matrix Rplane, Matrix Tplane, out Matrix R, out Matrix t)
{
// transform world points to plane
int n = worldPoints.Count;
var worldPlanePoints = new List<Matrix>();
for (int i = 0; i < n; i++)
{
var planePoint = new Matrix(3, 1);
planePoint.Mult(Rplane, worldPoints[i]);
planePoint.Add(Tplane);
worldPlanePoints.Add(planePoint);
}
var Rdlt = new Matrix(3, 3);
var Tdlt = new Matrix(3, 1);
PlanarDLT(cameraMatrix, distCoeffs, worldPlanePoints, imagePoints, out Rdlt, out Tdlt);
R = new Matrix(3, 3);
t = new Matrix(3, 1);
t.Mult(Rdlt, Tplane);
t.Add(Tdlt);
R.Mult(Rdlt, Rplane);
}
public static void TestDLT()
{
var cameraMatrix = Matrix.Identity(3, 3);
cameraMatrix[0, 0] = 700;
cameraMatrix[1, 1] = 700;
cameraMatrix[0, 2] = 250;
cameraMatrix[1, 2] = 220;
var distCoeffs = new Matrix(5, 1);
distCoeffs[0] = 0.05;
distCoeffs[1] = -0.1;
// generate a bunch of points in a volume
// project under some other camera (view)
var R = new Matrix(3, 3);
R.RotEuler2Matrix(0.2, 0.3, 0.3);
var t = new Matrix(3, 1);
t[0] = 2;
t[1] = 0;
t[2] = -4;
var modelPoints = new List <Matrix>();
var imagePoints = new List <System.Drawing.PointF>();
var zero3 = Matrix.Zero(3, 1);
for (float z = 1f; z <= 3.0f; z += 0.4f)
{
for (float y = -1f; y <= 1.0f; y += 0.4f)
{
for (float x = -1f; x <= 1.0f; x += 0.4f)
{
var model = new Matrix(3, 1);
model[0] = x;
model[1] = y;
model[2] = z;
modelPoints.Add(model);
// under our camera:
var transformedPoint = new Matrix(3, 1);
transformedPoint.Mult(R, model);
transformedPoint.Add(t);
var noise = Matrix.GaussianSample(zero3, 0.1 * 0.1);
transformedPoint.Add(noise);
double u, v;
Project(cameraMatrix, distCoeffs, transformedPoint[0], transformedPoint[1], transformedPoint[2], out u, out v);
var image = new System.Drawing.PointF();
image.X = (float)u;
image.Y = (float)v;
imagePoints.Add(image);
}
}
}
Console.WriteLine("x = [");
for (int i = 0; i < imagePoints.Count; i++)
{
Console.WriteLine("{0} {1}", imagePoints[i].X, imagePoints[i].Y);
}
Console.WriteLine("]';");
Console.WriteLine("X = [");
for (int i = 0; i < modelPoints.Count; i++)
{
Console.WriteLine("{0} {1} {2}", modelPoints[i][0], modelPoints[i][1], modelPoints[i][2]);
}
Console.WriteLine("]';");
Console.WriteLine("fc = [{0} {1}];", cameraMatrix[0, 0], cameraMatrix[1, 1]);
Console.WriteLine("cc = [{0} {1}];", cameraMatrix[0, 2], cameraMatrix[1, 2]);
Console.WriteLine("kc = [{0} {1} 0 0 0];", distCoeffs[0], distCoeffs[1]);
Console.WriteLine();
Console.WriteLine("R\n" + R);
Console.WriteLine("t\n" + t);
var Rest = new Matrix(3, 3);
var test = new Matrix(3, 1);
DLT(cameraMatrix, distCoeffs, modelPoints, imagePoints, out Rest, out test);
Console.WriteLine("Rest\n" + Rest);
Console.WriteLine("test\n" + test);
}
public void RecoverCalibrationFromSensor(KinectSensor kinectSensor)
{
var stopWatch = new System.Diagnostics.Stopwatch();
stopWatch.Start();
var objectPoints1 = new List<RoomAliveToolkit.Matrix>();
var colorPoints1 = new List<System.Drawing.PointF>();
var depthPoints1 = new List<System.Drawing.PointF>();
int n = 0;
for (float x = -2f; x < 2f; x += 0.2f)
for (float y = -2f; y < 2f; y += 0.2f)
for (float z = 0.4f; z < 4.5f; z += 0.4f)
{
var kinectCameraPoint = new CameraSpacePoint();
kinectCameraPoint.X = x;
kinectCameraPoint.Y = y;
kinectCameraPoint.Z = z;
// use SDK's projection
// adjust Y to make RH cooridnate system that is a projection of Kinect 3D points
var kinectColorPoint = kinectSensor.CoordinateMapper.MapCameraPointToColorSpace(kinectCameraPoint);
kinectColorPoint.Y = colorImageHeight - kinectColorPoint.Y;
var kinectDepthPoint = kinectSensor.CoordinateMapper.MapCameraPointToDepthSpace(kinectCameraPoint);
kinectDepthPoint.Y = depthImageHeight - kinectDepthPoint.Y;
if ((kinectColorPoint.X >= 0) && (kinectColorPoint.X < colorImageWidth) &&
(kinectColorPoint.Y >= 0) && (kinectColorPoint.Y < colorImageHeight) &&
(kinectDepthPoint.X >= 0) && (kinectDepthPoint.X < depthImageWidth) &&
(kinectDepthPoint.Y >= 0) && (kinectDepthPoint.Y < depthImageHeight))
{
n++;
var objectPoint = new RoomAliveToolkit.Matrix(3, 1);
objectPoint[0] = kinectCameraPoint.X;
objectPoint[1] = kinectCameraPoint.Y;
objectPoint[2] = kinectCameraPoint.Z;
objectPoints1.Add(objectPoint);
var colorPoint = new System.Drawing.PointF();
colorPoint.X = kinectColorPoint.X;
colorPoint.Y = kinectColorPoint.Y;
colorPoints1.Add(colorPoint);
//Console.WriteLine(objectPoint[0] + "\t" + objectPoint[1] + "\t" + colorPoint.X + "\t" + colorPoint.Y);
var depthPoint = new System.Drawing.PointF();
depthPoint.X = kinectDepthPoint.X;
depthPoint.Y = kinectDepthPoint.Y;
depthPoints1.Add(depthPoint);
}
}
colorCameraMatrix[0, 0] = 1000; //fx
colorCameraMatrix[1, 1] = 1000; //fy
colorCameraMatrix[0, 2] = colorImageWidth / 2; //cx
colorCameraMatrix[1, 2] = colorImageHeight / 2; //cy
colorCameraMatrix[2, 2] = 1;
var rotation = new Matrix(3, 1);
var translation = new Matrix(3, 1);
var colorError = CalibrateColorCamera(objectPoints1, colorPoints1, colorCameraMatrix, colorLensDistortion, rotation, translation);
//var rotationMatrix = Orientation.Rodrigues(rotation);
var rotationMatrix = RoomAliveToolkit.ProjectorCameraEnsemble.RotationMatrixFromRotationVector(rotation);
depthToColorTransform = Matrix.Identity(4, 4);
for (int i = 0; i < 3; i++)
{
depthToColorTransform[i, 3] = translation[i];
for (int j = 0; j < 3; j++)
depthToColorTransform[i, j] = rotationMatrix[i, j];
}
depthCameraMatrix[0, 0] = 360; //fx
depthCameraMatrix[1, 1] = 360; //fy
depthCameraMatrix[0, 2] = depthImageWidth / 2; //cx
depthCameraMatrix[1, 2] = depthImageHeight / 2; //cy
depthCameraMatrix[2, 2] = 1;
var depthError = CalibrateDepthCamera(objectPoints1, depthPoints1, depthCameraMatrix, depthLensDistortion);
//// latest SDK gives access to depth intrinsics directly -- this gives slightly higher projection error; not sure why
//var depthIntrinsics = kinectSensor.CoordinateMapper.GetDepthCameraIntrinsics();
//depthCameraMatrix[0, 0] = depthIntrinsics.FocalLengthX;
//depthCameraMatrix[1, 1] = depthIntrinsics.FocalLengthY;
//depthCameraMatrix[0, 2] = depthIntrinsics.PrincipalPointX;
//depthCameraMatrix[1, 2] = depthImageHeight - depthIntrinsics.PrincipalPointY; // note flip in Y!
//depthDistCoeffs[0] = depthIntrinsics.RadialDistortionSecondOrder;
//depthDistCoeffs[1] = depthIntrinsics.RadialDistortionFourthOrder;
// check projections
double depthProjectionError = 0;
double colorProjectionError = 0;
var color = new RoomAliveToolkit.Matrix(4, 1);
var testObjectPoint4 = new RoomAliveToolkit.Matrix(4, 1);
for (int i = 0; i < n; i++)
{
var testObjectPoint = objectPoints1[i];
var testDepthPoint = depthPoints1[i];
var testColorPoint = colorPoints1[i];
// "camera space" == depth camera space
// depth camera projection
double depthU, depthV;
CameraMath.Project(depthCameraMatrix, depthLensDistortion, testObjectPoint[0], testObjectPoint[1], testObjectPoint[2], out depthU, out depthV);
double dx = testDepthPoint.X - depthU;
double dy = testDepthPoint.Y - depthV;
depthProjectionError += (dx * dx) + (dy * dy);
// color camera projection
testObjectPoint4[0] = testObjectPoint[0];
testObjectPoint4[1] = testObjectPoint[1];
testObjectPoint4[2] = testObjectPoint[2];
testObjectPoint4[3] = 1;
color.Mult(depthToColorTransform, testObjectPoint4);
color.Scale(1.0 / color[3]); // not necessary for this transform
double colorU, colorV;
CameraMath.Project(colorCameraMatrix, colorLensDistortion, color[0], color[1], color[2], out colorU, out colorV);
dx = testColorPoint.X - colorU;
dy = testColorPoint.Y - colorV;
colorProjectionError += (dx * dx) + (dy * dy);
}
depthProjectionError /= n;
colorProjectionError /= n;
stopWatch.Stop();
Console.WriteLine("FakeCalibration :");
Console.WriteLine("n = " + n);
Console.WriteLine("color error = " + colorError);
Console.WriteLine("depth error = " + depthError);
Console.WriteLine("depth reprojection error = " + depthProjectionError);
Console.WriteLine("color reprojection error = " + colorProjectionError);
Console.WriteLine("depth camera matrix = \n" + depthCameraMatrix);
Console.WriteLine("depth lens distortion = \n" + depthLensDistortion);
Console.WriteLine("color camera matrix = \n" + colorCameraMatrix);
Console.WriteLine("color lens distortion = \n" + colorLensDistortion);
Console.WriteLine(stopWatch.ElapsedMilliseconds + " ms");
//// get camera space table
//// this does not change frame to frame (or so I believe)
//var tableEntries = kinectSensor.CoordinateMapper.GetDepthFrameToCameraSpaceTable();
//// compute our own version of the camera space table and compare it to the SDK's
//stopWatch.Restart();
//var tableEntries2 = ComputeDepthFrameToCameraSpaceTable();
//Console.WriteLine("ComputeDepthFrameToCameraSpaceTable took " + stopWatch.ElapsedMilliseconds + " ms");
//{
// float error = 0;
// for (int framey = 0; framey < depthImageHeight; framey++)
// for (int framex = 0; framex < depthImageWidth; framex++)
// {
// var point1 = tableEntries[depthImageWidth * framey + framex];
// var point2 = tableEntries2[depthImageWidth * framey + framex];
// error += (float)Math.Sqrt((point1.X - point2.X) * (point1.X - point2.X) + (point1.Y - point2.Y) * (point1.Y - point2.Y));
// }
// error /= (float)(depthImageHeight * depthImageWidth);
// Console.WriteLine("error = " + error);
//}
}
public double MinimizeOneStep(Matrix parameters)
{
// initial value of the function; callee knows the size of the returned vector
var errorVector = function(parameters);
var error = errorVector.Dot(errorVector);
// Jacobian; callee knows the size of the returned matrix
var J = jacobianFunction(parameters);
// J'*J
var JtJ = new Matrix(parameters.Size, parameters.Size);
//stopWatch.Restart();
//JtJ.MultATA(J, J); // this is the big calculation that could be parallelized
JtJ.MultATAParallel(J, J);
//Console.WriteLine("JtJ: J size {0}x{1} {2}ms", J.Rows, J.Cols, stopWatch.ElapsedMilliseconds);
// J'*error
var JtError = new Matrix(parameters.Size, 1);
//stopWatch.Restart();
JtError.MultATA(J, errorVector); // error vector must be a column vector
//Console.WriteLine("JtError: errorVector size {0}x{1} {2}ms", errorVector.Rows, errorVector.Cols, stopWatch.ElapsedMilliseconds);
// allocate some space
var JtJaugmented = new Matrix(parameters.Size, parameters.Size);
var JtJinv = new Matrix(parameters.Size, parameters.Size);
var delta = new Matrix(parameters.Size, 1);
var newParameters = new Matrix(parameters.Size, 1);
// find a value of lambda that reduces error
double lambda = initialLambda;
while (true)
{
// augment J'*J: J'*J += lambda*(diag(J))
JtJaugmented.Copy(JtJ);
for (int i = 0; i < parameters.Size; i++)
JtJaugmented[i, i] = (1.0 + lambda) * JtJ[i, i];
//WriteMatrixToFile(errorVector, "errorVector");
//WriteMatrixToFile(J, "J");
//WriteMatrixToFile(JtJaugmented, "JtJaugmented");
//WriteMatrixToFile(JtError, "JtError");
// solve for delta: (J'*J + lambda*(diag(J)))*delta = J'*error
JtJinv.Inverse(JtJaugmented);
delta.Mult(JtJinv, JtError);
// new parameters = parameters - delta [why not add?]
newParameters.Sub(parameters, delta);
// evaluate function, compute error
var newErrorVector = function(newParameters);
double newError = newErrorVector.Dot(newErrorVector);
// if error is reduced, divide lambda by 10
bool improvement;
if (newError < error)
{
lambda /= lambdaIncrement;
improvement = true;
}
else // if not, multiply lambda by 10
{
lambda *= lambdaIncrement;
improvement = false;
}
// termination criteria:
// reduction in error is too small
var diff = new Matrix(errorVector.Size, 1);
diff.Sub(errorVector, newErrorVector);
double diffSq = diff.Dot(diff);
double errorDelta = Math.Sqrt(diffSq / error);
if (errorDelta < minimumReduction)
state = States.ReductionStepTooSmall;
// lambda is too big
if (lambda > maximumLambda)
state = States.LambdaTooLarge;
// change in parameters is too small [not implemented]
// if we made an improvement, accept the new parameters
if (improvement)
{
parameters.Copy(newParameters);
error = newError;
break;
}
// if we meet termination criteria, break
if (state != States.Running)
break;
}
rmsError = Math.Sqrt(error / errorVector.Size);
return rmsError;
}
public static double CalibrateCameraExtrinsicsOnly(List<List<Matrix>> worldPointSets, List<List<System.Drawing.PointF>> imagePointSets,
Matrix cameraMatrix, ref List<Matrix> rotations, ref List<Matrix> translations)
{
int nSets = worldPointSets.Count;
int nPoints = 0;
for (int i = 0; i < nSets; i++)
nPoints += worldPointSets[i].Count; // for later
var distCoeffs = Matrix.Zero(2, 1);
//// if necessary run DLT on each point set to get initial rotation and translations
//if (rotations == null)
//{
// rotations = new List<Matrix>();
// translations = new List<Matrix>();
// for (int i = 0; i < nSets; i++)
// {
// Matrix R, t;
// CameraMath.DLT(cameraMatrix, distCoeffs, worldPointSets[i], imagePointSets[i], out R, out t);
// var r = CameraMath.RotationVectorFromRotationMatrix(R);
// rotations.Add(r);
// translations.Add(t);
// }
//}
// Levenberg-Marquardt for camera matrix (ignore lens distortion for now)
// pack parameters into vector
// parameters: camera has f, cx, cy; each point set has rotation + translation (6)
//int nParameters = 3 + 6 * nSets;
int nParameters = 6 * nSets;
var parameters = new Matrix(nParameters, 1);
{
int pi = 0;
//parameters[pi++] = cameraMatrix[0, 0]; // f
//parameters[pi++] = cameraMatrix[0, 2]; // cx
//parameters[pi++] = cameraMatrix[1, 2]; // cy
for (int i = 0; i < nSets; i++)
{
parameters[pi++] = rotations[i][0];
parameters[pi++] = rotations[i][1];
parameters[pi++] = rotations[i][2];
parameters[pi++] = translations[i][0];
parameters[pi++] = translations[i][1];
parameters[pi++] = translations[i][2];
}
}
// size of our error vector
int nValues = nPoints * 2; // each component (x,y) is a separate entry
LevenbergMarquardt.Function function = delegate (Matrix p)
{
var fvec = new Matrix(nValues, 1);
// unpack parameters
int pi = 0;
//double f = p[pi++];
//double cx = p[pi++];
//double cy = p[pi++];
var K = Matrix.Identity(3, 3);
//K[0, 0] = f;
//K[1, 1] = f;
//K[0, 2] = cx;
//K[1, 2] = cy;
K[0, 0] = cameraMatrix[0, 0];
K[1, 1] = cameraMatrix[1, 1];
K[0, 2] = cameraMatrix[0, 2];
K[1, 2] = cameraMatrix[1, 2];
var d = Matrix.Zero(2, 1);
int fveci = 0;
for (int i = 0; i < nSets; i++)
{
var rotation = new Matrix(3, 1);
rotation[0] = p[pi++];
rotation[1] = p[pi++];
rotation[2] = p[pi++];
var R = RotationMatrixFromRotationVector(rotation);
var t = new Matrix(3, 1);
t[0] = p[pi++];
t[1] = p[pi++];
t[2] = p[pi++];
var worldPoints = worldPointSets[i];
var imagePoints = imagePointSets[i];
var x = new Matrix(3, 1);
for (int j = 0; j < worldPoints.Count; j++)
{
// transform world point to local camera coordinates
x.Mult(R, worldPoints[j]);
x.Add(t);
// fvec_i = y_i - f(x_i)
double u, v;
CameraMath.Project(K, d, x[0], x[1], x[2], out u, out v);
var imagePoint = imagePoints[j];
fvec[fveci++] = imagePoint.X - u;
fvec[fveci++] = imagePoint.Y - v;
}
}
return fvec;
};
// optimize
var calibrate = new LevenbergMarquardt(function);
calibrate.minimumReduction = 1.0e-4;
calibrate.Minimize(parameters);
//while (calibrate.State == LevenbergMarquardt.States.Running)
//{
// var rmsError = calibrate.MinimizeOneStep(parameters);
// Console.WriteLine("rms error = " + rmsError);
//}
//for (int i = 0; i < nParameters; i++)
// Console.WriteLine(parameters[i] + "\t");
//Console.WriteLine();
// unpack parameters
{
int pi = 0;
//double f = parameters[pi++];
//double cx = parameters[pi++];
//double cy = parameters[pi++];
//cameraMatrix[0, 0] = f;
//cameraMatrix[1, 1] = f;
//cameraMatrix[0, 2] = cx;
//cameraMatrix[1, 2] = cy;
for (int i = 0; i < nSets; i++)
{
rotations[i][0] = parameters[pi++];
rotations[i][1] = parameters[pi++];
rotations[i][2] = parameters[pi++];
translations[i][0] = parameters[pi++];
translations[i][1] = parameters[pi++];
translations[i][2] = parameters[pi++];
}
}
return calibrate.RMSError;
}
public void CalibrateProjectorGroups(string directory)
{
// for all cameras, take depth image points to color image points
var depthImage = new FloatImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
var varianceImage = new FloatImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
var validMask = new ByteImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
foreach (var camera in cameras)
{
Console.WriteLine("projecting depth points to color camera " + camera.name);
// load depth image
string cameraDirectory = directory + "/camera" + camera.name;
depthImage.LoadFromFile(cameraDirectory + "/mean.bin");
varianceImage.LoadFromFile(cameraDirectory + "/variance.bin");
validMask.Zero();
var calibration = camera.calibration;
var depthFrameToCameraSpaceTable = calibration.ComputeDepthFrameToCameraSpaceTable();
// TODO: consider using just one 4x4 in calibration class
var colorCamera = new Matrix(4, 1);
camera.colorImagePoints = new List<Matrix>();
camera.depthCameraPoints = new List<Matrix>();
var depthCamera4 = new Matrix(4, 1);
// for each valid point in depth image
int numRejected = 0;
for (int y = 0; y < Kinect2Calibration.depthImageHeight; y += 1)
for (int x = 0; x < Kinect2Calibration.depthImageWidth; x += 1)
{
float depth = depthImage[x, y] / 1000f; // m
float variance = varianceImage[x, y];
if (depth == 0)
continue;
if (variance > 6 * 6)
{
numRejected++;
continue;
}
validMask[x, y] = (byte)255;
// convert to depth camera space
var point = depthFrameToCameraSpaceTable[y * Kinect2Calibration.depthImageWidth + x];
depthCamera4[0] = point.X * depth;
depthCamera4[1] = point.Y * depth;
depthCamera4[2] = depth;
depthCamera4[3] = 1;
// convert to color camera space
colorCamera.Mult(calibration.depthToColorTransform, depthCamera4);
//colorCamera.Scale(1.0 / colorCamera[3]);
// project to color image
double colorU, colorV;
CameraMath.Project(calibration.colorCameraMatrix, calibration.colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorU, out colorV);
if ((colorU >= 0) && (colorU < (Kinect2Calibration.colorImageWidth - 1)) && (colorV >= 0) && (colorV < (Kinect2Calibration.colorImageHeight - 1))) // BEWARE: later do we round or truncate??
{
var colorImagePoint = new Matrix(2, 1);
colorImagePoint[0] = colorU;
colorImagePoint[1] = colorV;
camera.colorImagePoints.Add(colorImagePoint);
// expect a 3-vector?
var depthCamera = new Matrix(3, 1);
depthCamera[0] = depthCamera4[0];
depthCamera[1] = depthCamera4[1];
depthCamera[2] = depthCamera4[2];
camera.depthCameraPoints.Add(depthCamera);
//Console.WriteLine(depthCamera[0] + "\t" + depthCamera[1] + "\t -> " + colorImagePoint[0] + "\t" + colorImagePoint[1]);
}
}
SaveToTiff(imagingFactory, validMask, cameraDirectory + "/validMask.tiff");
Console.WriteLine("rejected " + 100 * (float)numRejected / (float)(Kinect2Calibration.depthImageWidth * Kinect2Calibration.depthImageHeight) + "% pixels for high variance");
}
// we never save colorImagePoints, depthCameraPoints, so we must remember to run previous
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
// use decoded Gray code images to create calibration point sets
foreach (var projector in projectors)
{
string projectorDirectory = directory + "/projector" + projector.name;
projector.calibrationPointSets = new Dictionary<Camera, CalibrationPointSet>();
foreach (var camera in cameras)
{
string cameraDirectory = projectorDirectory + "/camera" + camera.name;
var decodedColumns = new ShortImage(Kinect2Calibration.colorImageWidth, Kinect2Calibration.colorImageHeight);
var decodedRows = new ShortImage(Kinect2Calibration.colorImageWidth, Kinect2Calibration.colorImageHeight);
var mask = new ByteImage(Kinect2Calibration.colorImageWidth, Kinect2Calibration.colorImageHeight);
LoadFromTiff(imagingFactory, decodedColumns, cameraDirectory + "/decodedColumns.tiff");
LoadFromTiff(imagingFactory, decodedRows, cameraDirectory + "/decodedRows.tiff");
LoadFromTiff(imagingFactory, mask, cameraDirectory + "/mask.tiff");
// we have a bunch of color camera / depth camera point corrspondences
// use the Gray code to find the position of the color camera point in the projector frame
// find 2D projector coordinates from decoded Gray code images
var imagePoints = new List<System.Drawing.PointF>();
var worldPoints = new List<Matrix>();
for (int i = 0; i < camera.colorImagePoints.Count; i++)
{
var colorImagePoint = camera.colorImagePoints[i];
// We would like to relate projected color points to color images stored in memory.
// The Kinect SDK and our camera calibration assumes X left, Y up (from the POV of the camera).
// We index images in memory with X right and Y down.
// Our Gray code images are flipped in the horizontal direction.
// Therefore to map an image space coordinate to a memory location we flip Y (and not X):
int x = (int)(colorImagePoint[0] + 0.5f);
int y = Kinect2Calibration.colorImageHeight - (int)(colorImagePoint[1] + 0.5f);
if ((x < 0) || (x >= Kinect2Calibration.colorImageWidth) || (y < 0) || (y >= Kinect2Calibration.colorImageHeight))
{
//Console.WriteLine("out of bounds");
continue;
}
if (mask[x, y] > 0) // Gray code is valid
{
// We would like to relate decoded row/column values to projector coordinates.
// To match the camera, we want projector's coordinate system X left, Y up (from the POV of the projector).
// We assume that the projector is configured in front projection mode (i.e., projected text looks correct in the real world).
// In that case decoded columns run X right (in the real world), decoded rows run Y down (in the real world).
// So we need to flip both X and Y decoded values.
var projectorImagePoint = new System.Drawing.PointF(projector.width - decodedColumns[x, y], projector.height - decodedRows[x, y]);
var depthCameraPoint = camera.depthCameraPoints[i];
imagePoints.Add(projectorImagePoint);
worldPoints.Add(depthCameraPoint);
//Console.WriteLine(depthCameraPoint[0] + "\t" + depthCameraPoint[1] + "\t" + depthCameraPoint[2] + "-> \t" + x + "\t" + y + "-> \t" + projectorImagePoint.X + "\t" + projectorImagePoint.Y);
}
}
if (worldPoints.Count > 1000)
{
var pointSet = new CalibrationPointSet();
pointSet.worldPoints = worldPoints;
pointSet.imagePoints = imagePoints;
projector.calibrationPointSets[camera] = pointSet;
Console.WriteLine("projector " + projector.name + " is seen by camera " + camera.name + " (" + worldPoints.Count + " points)");
}
}
}
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
// calibration
foreach (var projector in projectors)
{
Console.WriteLine("calibrating projector " + projector.name);
string projectorDirectory = directory + "/projector" + projector.name;
// RANSAC
double minError = Double.PositiveInfinity;
var random = new Random(0); // provide seed to ease debugging
int numCompletedFits = 0;
for (int i = 0; (numCompletedFits < 4) && (i < 10); i++)
{
Console.WriteLine("RANSAC iteration " + i);
// randomly select small number of points from each calibration set
var worldPointSubsets = new List<List<Matrix>>();
var imagePointSubsets = new List<List<System.Drawing.PointF>>();
foreach (var pointSet in projector.calibrationPointSets.Values)
{
var worldPointSubset = new List<Matrix>();
var imagePointSubset = new List<System.Drawing.PointF>();
bool nonCoplanar = false;
int nTries = 0;
while (!nonCoplanar)
{
for (int j = 0; j < 100; j++)
{
int k = random.Next(pointSet.worldPoints.Count);
worldPointSubset.Add(pointSet.worldPoints[k]);
imagePointSubset.Add(pointSet.imagePoints[k]);
}
// check that points are not coplanar
Matrix X;
double D;
double ssdToPlane = PlaneFit(worldPointSubset, out X, out D);
int numOutliers = 0;
foreach (var point in worldPointSubset)
{
double distanceFromPlane = X.Dot(point) + D;
if (Math.Abs(distanceFromPlane) > 0.1f)
numOutliers++;
}
nonCoplanar = (numOutliers > worldPointSubset.Count * 0.10f);
if (!nonCoplanar)
{
Console.WriteLine("points are coplanar (try #{0})", nTries);
worldPointSubset.Clear();
imagePointSubset.Clear();
}
if (nTries++ > 1000)
{
throw new CalibrationFailedException("Unable to find noncoplanar points.");
// consider moving this check up with variance check (when calibration point sets are formed)
}
}
worldPointSubsets.Add(worldPointSubset);
imagePointSubsets.Add(imagePointSubset);
}
var cameraMatrix = new Matrix(3, 3);
cameraMatrix[0, 0] = 1000; //fx TODO: can we instead init this from FOV?
cameraMatrix[1, 1] = 1000; //fy
cameraMatrix[0, 2] = projector.width / 2; //cx
cameraMatrix[1, 2] = 0; // projector lens shift; note this assumes desktop projection mode
cameraMatrix[2, 2] = 1;
var distCoeffs = new RoomAliveToolkit.Matrix(2, 1);
List<RoomAliveToolkit.Matrix> rotations = null;
List<RoomAliveToolkit.Matrix> translations = null;
var error = CalibrateCamera(worldPointSubsets, imagePointSubsets, cameraMatrix, ref rotations, ref translations);
Console.WriteLine("error = " + error);
//Console.WriteLine("intrinsics = \n" + cameraMatrix);
//// we differ from opencv's 'error' in that we do not distinguish between x and y.
//// i.e. opencv uses the method below; this number would match if we used pointsInSum2*2 in the divisor.
//// double check opencv's error
//{
// double sumError2 = 0;
// int pointsInSum2 = 0;
// for (int ii = 0; ii < worldPointSubsets.Count; ii++)
// {
// var R = Orientation.Rodrigues(rotations[ii]);
// var t = translations[ii];
// var p = new Matrix(3, 1);
// var worldPointSet = worldPointSubsets[ii];
// var imagePointSet = imagePointSubsets[ii];
// for (int k = 0; k < worldPointSet.Count; k++)
// {
// p.Mult(R, worldPointSet[k]);
// p.Add(t);
// double u, v;
// Kinect2.Kinect2Calibration.Project(cameraMatrix, distCoeffs, p[0], p[1], p[2], out u, out v);
// double dx = imagePointSet[k].X - u;
// double dy = imagePointSet[k].Y - v;
// double thisError = dx * dx + dy * dy;
// sumError2 += thisError;
// pointsInSum2++;
// }
// }
// // opencv's error is rms but over both x and y combined
// Console.WriteLine("average projection error = " + Math.Sqrt(sumError2 / (float)(pointsInSum2)));
//}
// find inliers from overall dataset
var worldPointInlierSets = new List<List<Matrix>>();
var imagePointInlierSets = new List<List<System.Drawing.PointF>>();
int setIndex = 0;
bool enoughInliers = true;
double sumError = 0;
int pointsInSum = 0;
foreach (var pointSet in projector.calibrationPointSets.Values)
{
var worldPointInlierSet = new List<Matrix>();
var imagePointInlierSet = new List<System.Drawing.PointF>();
//var R = Vision.Orientation.Rodrigues(rotations[setIndex]);
var R = RotationMatrixFromRotationVector(rotations[setIndex]);
var t = translations[setIndex];
var p = new Matrix(3, 1);
for (int k = 0; k < pointSet.worldPoints.Count; k++)
{
p.Mult(R, pointSet.worldPoints[k]);
p.Add(t);
double u, v;
CameraMath.Project(cameraMatrix, distCoeffs, p[0], p[1], p[2], out u, out v);
double dx = pointSet.imagePoints[k].X - u;
double dy = pointSet.imagePoints[k].Y - v;
double thisError = Math.Sqrt((dx * dx) + (dy * dy));
if (thisError < 1.0f)
{
worldPointInlierSet.Add(pointSet.worldPoints[k]);
imagePointInlierSet.Add(pointSet.imagePoints[k]);
}
sumError += thisError * thisError;
pointsInSum++;
}
setIndex++;
// require that each view has a minimum number of inliers
enoughInliers = enoughInliers && (worldPointInlierSet.Count > 1000);
worldPointInlierSets.Add(worldPointInlierSet);
imagePointInlierSets.Add(imagePointInlierSet);
}
// if number of inliers > some threshold (should be for each subset)
if (enoughInliers) // should this threshold be a function of the number of cameras, a percentage?
{
var error2 = CalibrateCamera(worldPointInlierSets, imagePointInlierSets, cameraMatrix, ref rotations, ref translations);
Console.WriteLine("error with inliers = " + error2);
Console.Write("camera matrix = \n" + cameraMatrix);
numCompletedFits++;
// if err < besterr save model (save rotation and translation to calibrationPointSets, cameraMatrix and distortion coeffs to projector)
if (error < minError)
{
minError = error;
projector.cameraMatrix = cameraMatrix;
projector.lensDistortion = distCoeffs;
setIndex = 0;
foreach (var pointSet in projector.calibrationPointSets.Values)
{
// convert to 4x4 transform
var R = RotationMatrixFromRotationVector(rotations[setIndex]);
var t = translations[setIndex];
var T = new Matrix(4, 4);
T.Identity();
for (int ii = 0; ii < 3; ii++)
{
for (int jj = 0; jj < 3; jj++)
T[ii, jj] = R[ii, jj];
T[ii, 3] = t[ii];
}
pointSet.pose = T;
pointSet.worldPointInliers = worldPointInlierSets[setIndex];
pointSet.imagePointInliers = imagePointInlierSets[setIndex];
setIndex++;
}
}
}
}
if (numCompletedFits == 0)
throw new CalibrationFailedException("Unable to successfully calibrate projector: " + projector.name);
Console.WriteLine("final calibration:");
Console.Write("camera matrix = \n" + projector.cameraMatrix);
Console.Write("distortion = \n" + projector.lensDistortion);
Console.WriteLine("error = " + minError);
foreach (var camera in projector.calibrationPointSets.Keys)
{
Console.WriteLine("camera " + camera.name + " pose:");
Console.Write(projector.calibrationPointSets[camera].pose);
}
}
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
}
// Use DLT to obtain estimate of calibration rig pose; in our case this is the pose of the Kinect camera.
// This pose estimate will provide a good initial estimate for subsequent projector calibration.
// Note for a full PnP solution we should probably refine with Levenberg-Marquardt.
// DLT is described in Hartley and Zisserman p. 178
public static void DLT(Matrix cameraMatrix, Matrix distCoeffs, List <Matrix> worldPoints, List <System.Drawing.PointF> imagePoints, out Matrix R, out Matrix t)
{
int n = worldPoints.Count;
var A = Matrix.Zero(2 * n, 12);
for (int j = 0; j < n; j++)
{
var X = worldPoints[j];
var imagePoint = imagePoints[j];
double x, y;
Undistort(cameraMatrix, distCoeffs, imagePoint.X, imagePoint.Y, out x, out y);
double w = 1;
int ii = 2 * j;
A[ii, 4] = -w * X[0];
A[ii, 5] = -w * X[1];
A[ii, 6] = -w * X[2];
A[ii, 7] = -w;
A[ii, 8] = y * X[0];
A[ii, 9] = y * X[1];
A[ii, 10] = y * X[2];
A[ii, 11] = y;
ii++; // next row
A[ii, 0] = w * X[0];
A[ii, 1] = w * X[1];
A[ii, 2] = w * X[2];
A[ii, 3] = w;
A[ii, 8] = -x * X[0];
A[ii, 9] = -x * X[1];
A[ii, 10] = -x * X[2];
A[ii, 11] = -x;
}
var Pcolumn = new Matrix(12, 1);
{
var U = new Matrix(2 * n, 2 * n); // full SVD, alas, supports small number of points
var V = new Matrix(12, 12);
var ww = new Matrix(12, 1);
A.SVD(U, ww, V);
// find smallest singular value
int min = 0;
ww.Minimum(ref min);
// Pcolumn is last column of V
Pcolumn.CopyCol(V, min);
}
// reshape into 3x4 projection matrix
var P = new Matrix(3, 4);
P.Reshape(Pcolumn);
// x = P * X
// P = K [ R | t ]
// inv(K) P = [ R | t ]
//var Kinv = new Matrix(3, 3);
//Kinv.Inverse(cameraMatrix);
//var Rt = new Matrix(3, 4);
//Rt.Mult(Kinv, P);
var Rt = new Matrix(3, 4);
Rt.Copy(P); // P does not contain camera matrix (by earlier undistort)
R = new Matrix(3, 3);
t = new Matrix(3, 1);
for (int ii = 0; ii < 3; ii++)
{
t[ii] = Rt[ii, 3];
for (int jj = 0; jj < 3; jj++)
{
R[ii, jj] = Rt[ii, jj];
}
}
//R.Copy(0, 0, Rt);
//t.CopyCol(Rt, 3);
if (R.Det3x3() < 0)
{
R.Scale(-1); t.Scale(-1);
}
// orthogonalize R
{
var U = new Matrix(3, 3);
var Vt = new Matrix(3, 3);
var V = new Matrix(3, 3);
var ww = new Matrix(3, 1);
R.SVD(U, ww, V);
Vt.Transpose(V);
R.Mult(U, Vt);
double s = ww.Sum() / 3.0;
t.Scale(1.0 / s);
}
// compute error?
}
public static double CalibrateCameraExtrinsicsOnly(List <List <Matrix> > worldPointSets, List <List <System.Drawing.PointF> > imagePointSets,
Matrix cameraMatrix, ref List <Matrix> rotations, ref List <Matrix> translations)
{
int nSets = worldPointSets.Count;
int nPoints = 0;
for (int i = 0; i < nSets; i++)
{
nPoints += worldPointSets[i].Count; // for later
}
var distCoeffs = Matrix.Zero(2, 1);
//// if necessary run DLT on each point set to get initial rotation and translations
//if (rotations == null)
//{
// rotations = new List<Matrix>();
// translations = new List<Matrix>();
// for (int i = 0; i < nSets; i++)
// {
// Matrix R, t;
// CameraMath.DLT(cameraMatrix, distCoeffs, worldPointSets[i], imagePointSets[i], out R, out t);
// var r = CameraMath.RotationVectorFromRotationMatrix(R);
// rotations.Add(r);
// translations.Add(t);
// }
//}
// Levenberg-Marquardt for camera matrix (ignore lens distortion for now)
// pack parameters into vector
// parameters: camera has f, cx, cy; each point set has rotation + translation (6)
//int nParameters = 3 + 6 * nSets;
int nParameters = 6 * nSets;
var parameters = new Matrix(nParameters, 1);
{
int pi = 0;
//parameters[pi++] = cameraMatrix[0, 0]; // f
//parameters[pi++] = cameraMatrix[0, 2]; // cx
//parameters[pi++] = cameraMatrix[1, 2]; // cy
for (int i = 0; i < nSets; i++)
{
parameters[pi++] = rotations[i][0];
parameters[pi++] = rotations[i][1];
parameters[pi++] = rotations[i][2];
parameters[pi++] = translations[i][0];
parameters[pi++] = translations[i][1];
parameters[pi++] = translations[i][2];
}
}
// size of our error vector
int nValues = nPoints * 2; // each component (x,y) is a separate entry
LevenbergMarquardt.Function function = delegate(Matrix p)
{
var fvec = new Matrix(nValues, 1);
// unpack parameters
int pi = 0;
//double f = p[pi++];
//double cx = p[pi++];
//double cy = p[pi++];
var K = Matrix.Identity(3, 3);
//K[0, 0] = f;
//K[1, 1] = f;
//K[0, 2] = cx;
//K[1, 2] = cy;
K[0, 0] = cameraMatrix[0, 0];
K[1, 1] = cameraMatrix[1, 1];
K[0, 2] = cameraMatrix[0, 2];
K[1, 2] = cameraMatrix[1, 2];
var d = Matrix.Zero(2, 1);
int fveci = 0;
for (int i = 0; i < nSets; i++)
{
var rotation = new Matrix(3, 1);
rotation[0] = p[pi++];
rotation[1] = p[pi++];
rotation[2] = p[pi++];
var R = RotationMatrixFromRotationVector(rotation);
var t = new Matrix(3, 1);
t[0] = p[pi++];
t[1] = p[pi++];
t[2] = p[pi++];
var worldPoints = worldPointSets[i];
var imagePoints = imagePointSets[i];
var x = new Matrix(3, 1);
for (int j = 0; j < worldPoints.Count; j++)
{
// transform world point to local camera coordinates
x.Mult(R, worldPoints[j]);
x.Add(t);
// fvec_i = y_i - f(x_i)
double u, v;
CameraMath.Project(K, d, x[0], x[1], x[2], out u, out v);
var imagePoint = imagePoints[j];
fvec[fveci++] = imagePoint.X - u;
fvec[fveci++] = imagePoint.Y - v;
}
}
return(fvec);
};
// optimize
var calibrate = new LevenbergMarquardt(function);
calibrate.minimumReduction = 1.0e-4;
calibrate.Minimize(parameters);
//while (calibrate.State == LevenbergMarquardt.States.Running)
//{
// var rmsError = calibrate.MinimizeOneStep(parameters);
// Console.WriteLine("rms error = " + rmsError);
//}
//for (int i = 0; i < nParameters; i++)
// Console.WriteLine(parameters[i] + "\t");
//Console.WriteLine();
// unpack parameters
{
int pi = 0;
//double f = parameters[pi++];
//double cx = parameters[pi++];
//double cy = parameters[pi++];
//cameraMatrix[0, 0] = f;
//cameraMatrix[1, 1] = f;
//cameraMatrix[0, 2] = cx;
//cameraMatrix[1, 2] = cy;
for (int i = 0; i < nSets; i++)
{
rotations[i][0] = parameters[pi++];
rotations[i][1] = parameters[pi++];
rotations[i][2] = parameters[pi++];
translations[i][0] = parameters[pi++];
translations[i][1] = parameters[pi++];
translations[i][2] = parameters[pi++];
}
}
return(calibrate.RMSError);
}
public static Matrix Homography(List <Matrix> worldPoints, List <System.Drawing.PointF> imagePoints)
{
int n = worldPoints.Count;
// normalize image coordinates
var mu = new Matrix(2, 1);
for (int i = 0; i < n; i++)
{
mu[0] += imagePoints[i].X;
mu[1] += imagePoints[i].Y;
}
mu.Scale(1.0 / n);
var muAbs = new Matrix(2, 1);
for (int i = 0; i < n; i++)
{
muAbs[0] += Math.Abs(imagePoints[i].X - mu[0]);
muAbs[1] += Math.Abs(imagePoints[i].Y - mu[1]);
}
muAbs.Scale(1.0 / n);
var Hnorm = Matrix.Identity(3, 3);
Hnorm[0, 0] = 1 / muAbs[0];
Hnorm[1, 1] = 1 / muAbs[1];
Hnorm[0, 2] = -mu[0] / muAbs[0];
Hnorm[1, 2] = -mu[1] / muAbs[1];
var invHnorm = Matrix.Identity(3, 3);
invHnorm[0, 0] = muAbs[0];
invHnorm[1, 1] = muAbs[1];
invHnorm[0, 2] = mu[0];
invHnorm[1, 2] = mu[1];
var A = Matrix.Zero(2 * n, 9);
for (int i = 0; i < n; i++)
{
var X = worldPoints[i];
var imagePoint = imagePoints[i];
var x = new Matrix(3, 1);
x[0] = imagePoint.X;
x[1] = imagePoint.Y;
x[2] = 1;
var xn = new Matrix(3, 1);
xn.Mult(Hnorm, x);
// Zhang's formulation; Hartley's is similar
int ii = 2 * i;
A[ii, 0] = X[0];
A[ii, 1] = X[1];
A[ii, 2] = 1;
A[ii, 6] = -xn[0] * X[0];
A[ii, 7] = -xn[0] * X[1];
A[ii, 8] = -xn[0];
ii++; // next row
A[ii, 3] = X[0];
A[ii, 4] = X[1];
A[ii, 5] = 1;
A[ii, 6] = -xn[1] * X[0];
A[ii, 7] = -xn[1] * X[1];
A[ii, 8] = -xn[1];
}
// h is the eigenvector of ATA with the smallest eignvalue
var h = new Matrix(9, 1);
{
var ATA = new Matrix(9, 9);
ATA.MultATA(A, A);
var V = new Matrix(9, 9);
var ww = new Matrix(9, 1);
ATA.Eig(V, ww);
h.CopyCol(V, 0);
}
var Hn = new Matrix(3, 3);
Hn.Reshape(h);
var H = new Matrix(3, 3);
H.Mult(invHnorm, Hn);
return(H);
}
static public void PlaneFit(IList <Matrix> X, out Matrix R, out Matrix t, out Matrix d2)
{
int n = X.Count;
var mu = new Matrix(3, 1);
for (int i = 0; i < n; i++)
{
mu.Add(X[i]);
}
mu.Scale(1f / (float)n);
var A = new Matrix(3, 3);
var xc = new Matrix(3, 1);
var M = new Matrix(3, 3);
for (int i = 0; i < X.Count; i++)
{
var x = X[i];
xc.Sub(x, mu);
M.Outer(xc, xc);
A.Add(M);
}
var V = new Matrix(3, 3);
var d = new Matrix(3, 1);
A.Eig(V, d); // eigenvalues in ascending order
// arrange in descending order so that z = 0
var V2 = new Matrix(3, 3);
for (int i = 0; i < 3; i++)
{
V2[i, 2] = V[i, 0];
V2[i, 1] = V[i, 1];
V2[i, 0] = V[i, 2];
}
d2 = new Matrix(3, 1);
d2[2] = d[0];
d2[1] = d[1];
d2[0] = d[2];
R = new Matrix(3, 3);
R.Transpose(V2);
if (R.Det3x3() < 0)
{
R.Scale(-1);
}
t = new Matrix(3, 1);
t.Mult(R, mu);
t.Scale(-1);
// eigenvalues are the sum of squared distances in each direction
// i.e., min eigenvalue is the sum of squared distances to the plane = d2[2]
// compute the distance to the plane by transforming to the plane and take z-coordinate:
// xPlane = R*x + t; distance = xPlane[2]
}
public static void TestPlanarDLT()
{
var cameraMatrix = Matrix.Identity(3, 3);
cameraMatrix[0, 0] = 300;
cameraMatrix[1, 1] = 300;
cameraMatrix[0, 2] = 250;
cameraMatrix[1, 2] = 220;
var distCoeffs = new Matrix(5, 1);
distCoeffs[0] = 0.05;
distCoeffs[1] = -0.1;
// generate a bunch of points in a plane
// project under some other camera (view)
var R = new Matrix(3, 3);
R.RotEuler2Matrix(0.3, -0.2, 0.6);
var t = new Matrix(3, 1);
t[0] = 0.2;
t[1] = 0.3;
t[2] = 2;
var modelR = new Matrix(3, 3);
modelR.RotEuler2Matrix(-0.6, 0.2, 0.3);
var modelT = new Matrix(3, 1);
modelT[0] = -0.1;
modelT[1] = 1.0;
modelT[2] = 1.5;
var worldPoints = new List <Matrix>();
var worldTransformedPoints = new List <Matrix>();
var imagePoints = new List <System.Drawing.PointF>();
var zero3 = Matrix.Zero(3, 1);
for (float y = -1f; y <= 1.0f; y += 0.2f)
{
for (float x = -1f; x <= 1.0f; x += 0.2f)
{
var model = new Matrix(3, 1);
model[0] = x;
model[1] = y;
model[2] = 0;
var noise = Matrix.GaussianSample(zero3, 0.1 * 0.1);
var world = new Matrix(3, 1);
world.Mult(modelR, model);
world.Add(modelT);
world.Add(noise);
worldPoints.Add(world);
// under some camera:
var worldTransformed = new Matrix(3, 1);
worldTransformed.Mult(R, world);
worldTransformed.Add(t);
worldTransformedPoints.Add(worldTransformed);
double u, v;
Project(cameraMatrix, distCoeffs, worldTransformed[0], worldTransformed[1], worldTransformed[2], out u, out v);
var image = new System.Drawing.PointF();
image.X = (float)u;
image.Y = (float)v;
imagePoints.Add(image);
}
}
Console.WriteLine("R\n" + R);
Console.WriteLine("t\n" + t);
var Rplane = new Matrix(3, 1);
var Tplane = new Matrix(3, 1);
PlaneFit(worldPoints, out Rplane, out Tplane);
var Rest = new Matrix(3, 3);
var test = new Matrix(3, 1);
PlanarDLT(cameraMatrix, distCoeffs, worldPoints, imagePoints, Rplane, Tplane, out Rest, out test);
Console.WriteLine("Rest\n" + Rest);
Console.WriteLine("test\n" + test);
}
static public void PlaneFit(IList<Matrix> X, out Matrix R, out Matrix t, out Matrix d2)
{
int n = X.Count;
var mu = new Matrix(3, 1);
for (int i = 0; i < n; i++)
mu.Add(X[i]);
mu.Scale(1f / (float)n);
var A = new Matrix(3, 3);
var xc = new Matrix(3, 1);
var M = new Matrix(3, 3);
for (int i = 0; i < X.Count; i++)
{
var x = X[i];
xc.Sub(x, mu);
M.Outer(xc, xc);
A.Add(M);
}
var V = new Matrix(3, 3);
var d = new Matrix(3, 1);
A.Eig(V, d); // eigenvalues in ascending order
// arrange in descending order so that z = 0
var V2 = new Matrix(3, 3);
for (int i = 0; i < 3; i++)
{
V2[i, 2] = V[i, 0];
V2[i, 1] = V[i, 1];
V2[i, 0] = V[i, 2];
}
d2 = new Matrix(3, 1);
d2[2] = d[0];
d2[1] = d[1];
d2[0] = d[2];
R = new Matrix(3, 3);
R.Transpose(V2);
if (R.Det3x3() < 0)
R.Scale(-1);
t = new Matrix(3, 1);
t.Mult(R, mu);
t.Scale(-1);
// eigenvalues are the sum of squared distances in each direction
// i.e., min eigenvalue is the sum of squared distances to the plane = d2[2]
// compute the distance to the plane by transforming to the plane and take z-coordinate:
// xPlane = R*x + t; distance = xPlane[2]
}
public static Matrix Homography(List<Matrix> worldPoints, List<System.Drawing.PointF> imagePoints)
{
int n = worldPoints.Count;
// normalize image coordinates
var mu = new Matrix(2, 1);
for (int i = 0; i < n; i++)
{
mu[0] += imagePoints[i].X;
mu[1] += imagePoints[i].Y;
}
mu.Scale(1.0 / n);
var muAbs = new Matrix(2, 1);
for (int i = 0; i < n; i++)
{
muAbs[0] += Math.Abs(imagePoints[i].X - mu[0]);
muAbs[1] += Math.Abs(imagePoints[i].Y - mu[1]);
}
muAbs.Scale(1.0 / n);
var Hnorm = Matrix.Identity(3, 3);
Hnorm[0, 0] = 1 / muAbs[0];
Hnorm[1, 1] = 1 / muAbs[1];
Hnorm[0, 2] = -mu[0] / muAbs[0];
Hnorm[1, 2] = -mu[1] / muAbs[1];
var invHnorm = Matrix.Identity(3, 3);
invHnorm[0, 0] = muAbs[0];
invHnorm[1, 1] = muAbs[1];
invHnorm[0, 2] = mu[0];
invHnorm[1, 2] = mu[1];
var A = Matrix.Zero(2 * n, 9);
for (int i = 0; i < n; i++)
{
var X = worldPoints[i];
var imagePoint = imagePoints[i];
var x = new Matrix(3, 1);
x[0] = imagePoint.X;
x[1] = imagePoint.Y;
x[2] = 1;
var xn = new Matrix(3, 1);
xn.Mult(Hnorm, x);
// Zhang's formulation; Hartley's is similar
int ii = 2 * i;
A[ii, 0] = X[0];
A[ii, 1] = X[1];
A[ii, 2] = 1;
A[ii, 6] = -xn[0] * X[0];
A[ii, 7] = -xn[0] * X[1];
A[ii, 8] = -xn[0];
ii++; // next row
A[ii, 3] = X[0];
A[ii, 4] = X[1];
A[ii, 5] = 1;
A[ii, 6] = -xn[1] * X[0];
A[ii, 7] = -xn[1] * X[1];
A[ii, 8] = -xn[1];
}
// h is the eigenvector of ATA with the smallest eignvalue
var h = new Matrix(9, 1);
{
var ATA = new Matrix(9, 9);
ATA.MultATA(A, A);
var V = new Matrix(9, 9);
var ww = new Matrix(9, 1);
ATA.Eig(V, ww);
h.CopyCol(V, 0);
}
var Hn = new Matrix(3, 3);
Hn.Reshape(h);
var H = new Matrix(3, 3);
H.Mult(invHnorm, Hn);
return H;
}
public void RecoverCalibrationFromSensor(KinectSensor kinectSensor)
{
var stopWatch = new System.Diagnostics.Stopwatch();
stopWatch.Start();
var objectPoints1 = new List <RoomAliveToolkit.Matrix>();
var colorPoints1 = new List <System.Drawing.PointF>();
var depthPoints1 = new List <System.Drawing.PointF>();
int n = 0;
for (float x = -2f; x < 2f; x += 0.2f)
{
for (float y = -2f; y < 2f; y += 0.2f)
{
for (float z = 0.4f; z < 4.5f; z += 0.4f)
{
var kinectCameraPoint = new CameraSpacePoint();
kinectCameraPoint.X = x;
kinectCameraPoint.Y = y;
kinectCameraPoint.Z = z;
// use SDK's projection
// adjust Y to make RH cooridnate system that is a projection of Kinect 3D points
var kinectColorPoint = kinectSensor.CoordinateMapper.MapCameraPointToColorSpace(kinectCameraPoint);
kinectColorPoint.Y = colorImageHeight - kinectColorPoint.Y;
var kinectDepthPoint = kinectSensor.CoordinateMapper.MapCameraPointToDepthSpace(kinectCameraPoint);
kinectDepthPoint.Y = depthImageHeight - kinectDepthPoint.Y;
if ((kinectColorPoint.X >= 0) && (kinectColorPoint.X < colorImageWidth) &&
(kinectColorPoint.Y >= 0) && (kinectColorPoint.Y < colorImageHeight) &&
(kinectDepthPoint.X >= 0) && (kinectDepthPoint.X < depthImageWidth) &&
(kinectDepthPoint.Y >= 0) && (kinectDepthPoint.Y < depthImageHeight))
{
n++;
var objectPoint = new RoomAliveToolkit.Matrix(3, 1);
objectPoint[0] = kinectCameraPoint.X;
objectPoint[1] = kinectCameraPoint.Y;
objectPoint[2] = kinectCameraPoint.Z;
objectPoints1.Add(objectPoint);
var colorPoint = new System.Drawing.PointF();
colorPoint.X = kinectColorPoint.X;
colorPoint.Y = kinectColorPoint.Y;
colorPoints1.Add(colorPoint);
//Console.WriteLine(objectPoint[0] + "\t" + objectPoint[1] + "\t" + colorPoint.X + "\t" + colorPoint.Y);
var depthPoint = new System.Drawing.PointF();
depthPoint.X = kinectDepthPoint.X;
depthPoint.Y = kinectDepthPoint.Y;
depthPoints1.Add(depthPoint);
}
}
}
}
colorCameraMatrix[0, 0] = 1000; //fx
colorCameraMatrix[1, 1] = 1000; //fy
colorCameraMatrix[0, 2] = colorImageWidth / 2; //cx
colorCameraMatrix[1, 2] = colorImageHeight / 2; //cy
colorCameraMatrix[2, 2] = 1;
var rotation = new Matrix(3, 1);
var translation = new Matrix(3, 1);
var colorError = CalibrateColorCamera(objectPoints1, colorPoints1, colorCameraMatrix, colorLensDistortion, rotation, translation);
//var rotationMatrix = Orientation.Rodrigues(rotation);
var rotationMatrix = RoomAliveToolkit.ProjectorCameraEnsemble.RotationMatrixFromRotationVector(rotation);
depthToColorTransform = Matrix.Identity(4, 4);
for (int i = 0; i < 3; i++)
{
depthToColorTransform[i, 3] = translation[i];
for (int j = 0; j < 3; j++)
{
depthToColorTransform[i, j] = rotationMatrix[i, j];
}
}
depthCameraMatrix[0, 0] = 360; //fx
depthCameraMatrix[1, 1] = 360; //fy
depthCameraMatrix[0, 2] = depthImageWidth / 2; //cx
depthCameraMatrix[1, 2] = depthImageHeight / 2; //cy
depthCameraMatrix[2, 2] = 1;
var depthError = CalibrateDepthCamera(objectPoints1, depthPoints1, depthCameraMatrix, depthLensDistortion);
//// latest SDK gives access to depth intrinsics directly -- this gives slightly higher projection error; not sure why
//var depthIntrinsics = kinectSensor.CoordinateMapper.GetDepthCameraIntrinsics();
//depthCameraMatrix[0, 0] = depthIntrinsics.FocalLengthX;
//depthCameraMatrix[1, 1] = depthIntrinsics.FocalLengthY;
//depthCameraMatrix[0, 2] = depthIntrinsics.PrincipalPointX;
//depthCameraMatrix[1, 2] = depthImageHeight - depthIntrinsics.PrincipalPointY; // note flip in Y!
//depthDistCoeffs[0] = depthIntrinsics.RadialDistortionSecondOrder;
//depthDistCoeffs[1] = depthIntrinsics.RadialDistortionFourthOrder;
// check projections
double depthProjectionError = 0;
double colorProjectionError = 0;
var color = new RoomAliveToolkit.Matrix(4, 1);
var testObjectPoint4 = new RoomAliveToolkit.Matrix(4, 1);
for (int i = 0; i < n; i++)
{
var testObjectPoint = objectPoints1[i];
var testDepthPoint = depthPoints1[i];
var testColorPoint = colorPoints1[i];
// "camera space" == depth camera space
// depth camera projection
double depthU, depthV;
CameraMath.Project(depthCameraMatrix, depthLensDistortion, testObjectPoint[0], testObjectPoint[1], testObjectPoint[2], out depthU, out depthV);
double dx = testDepthPoint.X - depthU;
double dy = testDepthPoint.Y - depthV;
depthProjectionError += (dx * dx) + (dy * dy);
// color camera projection
testObjectPoint4[0] = testObjectPoint[0];
testObjectPoint4[1] = testObjectPoint[1];
testObjectPoint4[2] = testObjectPoint[2];
testObjectPoint4[3] = 1;
color.Mult(depthToColorTransform, testObjectPoint4);
color.Scale(1.0 / color[3]); // not necessary for this transform
double colorU, colorV;
CameraMath.Project(colorCameraMatrix, colorLensDistortion, color[0], color[1], color[2], out colorU, out colorV);
dx = testColorPoint.X - colorU;
dy = testColorPoint.Y - colorV;
colorProjectionError += (dx * dx) + (dy * dy);
}
depthProjectionError /= n;
colorProjectionError /= n;
stopWatch.Stop();
Console.WriteLine("FakeCalibration :");
Console.WriteLine("n = " + n);
Console.WriteLine("color error = " + colorError);
Console.WriteLine("depth error = " + depthError);
Console.WriteLine("depth reprojection error = " + depthProjectionError);
Console.WriteLine("color reprojection error = " + colorProjectionError);
Console.WriteLine("depth camera matrix = \n" + depthCameraMatrix);
Console.WriteLine("depth lens distortion = \n" + depthLensDistortion);
Console.WriteLine("color camera matrix = \n" + colorCameraMatrix);
Console.WriteLine("color lens distortion = \n" + colorLensDistortion);
Console.WriteLine(stopWatch.ElapsedMilliseconds + " ms");
//// get camera space table
//// this does not change frame to frame (or so I believe)
//var tableEntries = kinectSensor.CoordinateMapper.GetDepthFrameToCameraSpaceTable();
//// compute our own version of the camera space table and compare it to the SDK's
//stopWatch.Restart();
//var tableEntries2 = ComputeDepthFrameToCameraSpaceTable();
//Console.WriteLine("ComputeDepthFrameToCameraSpaceTable took " + stopWatch.ElapsedMilliseconds + " ms");
//{
// float error = 0;
// for (int framey = 0; framey < depthImageHeight; framey++)
// for (int framex = 0; framex < depthImageWidth; framex++)
// {
// var point1 = tableEntries[depthImageWidth * framey + framex];
// var point2 = tableEntries2[depthImageWidth * framey + framex];
// error += (float)Math.Sqrt((point1.X - point2.X) * (point1.X - point2.X) + (point1.Y - point2.Y) * (point1.Y - point2.Y));
// }
// error /= (float)(depthImageHeight * depthImageWidth);
// Console.WriteLine("error = " + error);
//}
}
public double MinimizeOneStep(Matrix parameters)
{
// initial value of the function; callee knows the size of the returned vector
var errorVector = function(parameters);
var error = errorVector.Dot(errorVector);
// Jacobian; callee knows the size of the returned matrix
var J = jacobianFunction(parameters);
// J'*J
var JtJ = new Matrix(parameters.Size, parameters.Size);
//stopWatch.Restart();
//JtJ.MultATA(J, J); // this is the big calculation that could be parallelized
JtJ.MultATAParallel(J, J);
//Console.WriteLine("JtJ: J size {0}x{1} {2}ms", J.Rows, J.Cols, stopWatch.ElapsedMilliseconds);
// J'*error
var JtError = new Matrix(parameters.Size, 1);
//stopWatch.Restart();
JtError.MultATA(J, errorVector); // error vector must be a column vector
//Console.WriteLine("JtError: errorVector size {0}x{1} {2}ms", errorVector.Rows, errorVector.Cols, stopWatch.ElapsedMilliseconds);
// allocate some space
var JtJaugmented = new Matrix(parameters.Size, parameters.Size);
var JtJinv = new Matrix(parameters.Size, parameters.Size);
var delta = new Matrix(parameters.Size, 1);
var newParameters = new Matrix(parameters.Size, 1);
// find a value of lambda that reduces error
double lambda = initialLambda;
while (true)
{
// augment J'*J: J'*J += lambda*(diag(J))
JtJaugmented.Copy(JtJ);
for (int i = 0; i < parameters.Size; i++)
{
JtJaugmented[i, i] = (1.0 + lambda) * JtJ[i, i];
}
//WriteMatrixToFile(errorVector, "errorVector");
//WriteMatrixToFile(J, "J");
//WriteMatrixToFile(JtJaugmented, "JtJaugmented");
//WriteMatrixToFile(JtError, "JtError");
// solve for delta: (J'*J + lambda*(diag(J)))*delta = J'*error
JtJinv.Inverse(JtJaugmented);
delta.Mult(JtJinv, JtError);
// new parameters = parameters - delta [why not add?]
newParameters.Sub(parameters, delta);
// evaluate function, compute error
var newErrorVector = function(newParameters);
double newError = newErrorVector.Dot(newErrorVector);
// if error is reduced, divide lambda by 10
bool improvement;
if (newError < error)
{
lambda /= lambdaIncrement;
improvement = true;
}
else // if not, multiply lambda by 10
{
lambda *= lambdaIncrement;
improvement = false;
}
// termination criteria:
// reduction in error is too small
var diff = new Matrix(errorVector.Size, 1);
diff.Sub(errorVector, newErrorVector);
double diffSq = diff.Dot(diff);
double errorDelta = Math.Sqrt(diffSq / error);
if (errorDelta < minimumReduction)
{
state = States.ReductionStepTooSmall;
}
// lambda is too big
if (lambda > maximumLambda)
{
state = States.LambdaTooLarge;
}
// change in parameters is too small [not implemented]
// if we made an improvement, accept the new parameters
if (improvement)
{
parameters.Copy(newParameters);
error = newError;
break;
}
// if we meet termination criteria, break
if (state != States.Running)
{
break;
}
}
rmsError = Math.Sqrt(error / errorVector.Size);
return(rmsError);
}
static double CalibrateColorCamera(List<Matrix> worldPoints, List<System.Drawing.PointF> imagePoints, Matrix cameraMatrix, Matrix distCoeffs, Matrix rotation, Matrix translation)
{
int nPoints = worldPoints.Count;
{
Matrix R, t;
CameraMath.DLT(cameraMatrix, distCoeffs, worldPoints, imagePoints, out R, out t);
var r = CameraMath.RotationVectorFromRotationMatrix(R);
rotation.Copy(r);
translation.Copy(t);
}
// pack parameters into vector
// parameters: fx, fy, cx, cy, k1, k2, + 3 for rotation, 3 translation = 12
int nParameters = 12;
var parameters = new Matrix(nParameters, 1);
{
int pi = 0;
parameters[pi++] = cameraMatrix[0, 0]; // fx
parameters[pi++] = cameraMatrix[1, 1]; // fy
parameters[pi++] = cameraMatrix[0, 2]; // cx
parameters[pi++] = cameraMatrix[1, 2]; // cy
parameters[pi++] = distCoeffs[0]; // k1
parameters[pi++] = distCoeffs[1]; // k2
parameters[pi++] = rotation[0];
parameters[pi++] = rotation[1];
parameters[pi++] = rotation[2];
parameters[pi++] = translation[0];
parameters[pi++] = translation[1];
parameters[pi++] = translation[2];
}
// size of our error vector
int nValues = nPoints * 2; // each component (x,y) is a separate entry
LevenbergMarquardt.Function function = delegate(Matrix p)
{
var fvec = new Matrix(nValues, 1);
// unpack parameters
int pi = 0;
double fx = p[pi++];
double fy = p[pi++];
double cx = p[pi++];
double cy = p[pi++];
double k1 = p[pi++];
double k2 = p[pi++];
var K = Matrix.Identity(3, 3);
K[0, 0] = fx;
K[1, 1] = fy;
K[0, 2] = cx;
K[1, 2] = cy;
var d = Matrix.Zero(5, 1);
d[0] = k1;
d[1] = k2;
var r = new Matrix(3, 1);
r[0] = p[pi++];
r[1] = p[pi++];
r[2] = p[pi++];
var t = new Matrix(3, 1);
t[0] = p[pi++];
t[1] = p[pi++];
t[2] = p[pi++];
var R = CameraMath.RotationMatrixFromRotationVector(r);
var x = new Matrix(3, 1);
int fveci = 0;
for (int i = 0; i < worldPoints.Count; i++)
{
// transform world point to local camera coordinates
x.Mult(R, worldPoints[i]);
x.Add(t);
// fvec_i = y_i - f(x_i)
double u, v;
CameraMath.Project(K, d, x[0], x[1], x[2], out u, out v);
var imagePoint = imagePoints[i];
fvec[fveci++] = imagePoint.X - u;
fvec[fveci++] = imagePoint.Y - v;
}
return fvec;
};
// optimize
var calibrate = new LevenbergMarquardt(function);
while (calibrate.State == LevenbergMarquardt.States.Running)
{
var rmsError = calibrate.MinimizeOneStep(parameters);
Console.WriteLine("rms error = " + rmsError);
}
for (int i = 0; i < nParameters; i++)
Console.WriteLine(parameters[i] + "\t");
Console.WriteLine();
// unpack parameters
{
int pi = 0;
double fx = parameters[pi++];
double fy = parameters[pi++];
double cx = parameters[pi++];
double cy = parameters[pi++];
double k1 = parameters[pi++];
double k2 = parameters[pi++];
cameraMatrix[0, 0] = fx;
cameraMatrix[1, 1] = fy;
cameraMatrix[0, 2] = cx;
cameraMatrix[1, 2] = cy;
distCoeffs[0] = k1;
distCoeffs[1] = k2;
rotation[0] = parameters[pi++];
rotation[1] = parameters[pi++];
rotation[2] = parameters[pi++];
translation[0] = parameters[pi++];
translation[1] = parameters[pi++];
translation[2] = parameters[pi++];
}
return calibrate.RMSError;
}
static double CalibrateColorCamera(List <Matrix> worldPoints, List <System.Drawing.PointF> imagePoints, Matrix cameraMatrix, Matrix distCoeffs, Matrix rotation, Matrix translation)
{
int nPoints = worldPoints.Count;
{
Matrix R, t;
CameraMath.DLT(cameraMatrix, distCoeffs, worldPoints, imagePoints, out R, out t);
//var r = Orientation.RotationVector(R);
var r = RoomAliveToolkit.ProjectorCameraEnsemble.RotationVectorFromRotationMatrix(R);
rotation.Copy(r);
translation.Copy(t);
}
// pack parameters into vector
// parameters: fx, fy, cx, cy, k1, k2, + 3 for rotation, 3 translation = 12
int nParameters = 12;
var parameters = new Matrix(nParameters, 1);
{
int pi = 0;
parameters[pi++] = cameraMatrix[0, 0]; // fx
parameters[pi++] = cameraMatrix[1, 1]; // fy
parameters[pi++] = cameraMatrix[0, 2]; // cx
parameters[pi++] = cameraMatrix[1, 2]; // cy
parameters[pi++] = distCoeffs[0]; // k1
parameters[pi++] = distCoeffs[1]; // k2
parameters[pi++] = rotation[0];
parameters[pi++] = rotation[1];
parameters[pi++] = rotation[2];
parameters[pi++] = translation[0];
parameters[pi++] = translation[1];
parameters[pi++] = translation[2];
}
// size of our error vector
int nValues = nPoints * 2; // each component (x,y) is a separate entry
LevenbergMarquardt.Function function = delegate(Matrix p)
{
var fvec = new Matrix(nValues, 1);
// unpack parameters
int pi = 0;
double fx = p[pi++];
double fy = p[pi++];
double cx = p[pi++];
double cy = p[pi++];
double k1 = p[pi++];
double k2 = p[pi++];
var K = Matrix.Identity(3, 3);
K[0, 0] = fx;
K[1, 1] = fy;
K[0, 2] = cx;
K[1, 2] = cy;
var d = Matrix.Zero(5, 1);
d[0] = k1;
d[1] = k2;
var r = new Matrix(3, 1);
r[0] = p[pi++];
r[1] = p[pi++];
r[2] = p[pi++];
var t = new Matrix(3, 1);
t[0] = p[pi++];
t[1] = p[pi++];
t[2] = p[pi++];
//var R = Orientation.Rodrigues(r);
var R = RoomAliveToolkit.ProjectorCameraEnsemble.RotationMatrixFromRotationVector(r);
var x = new Matrix(3, 1);
int fveci = 0;
for (int i = 0; i < worldPoints.Count; i++)
{
// transform world point to local camera coordinates
x.Mult(R, worldPoints[i]);
x.Add(t);
// fvec_i = y_i - f(x_i)
double u, v;
CameraMath.Project(K, d, x[0], x[1], x[2], out u, out v);
var imagePoint = imagePoints[i];
fvec[fveci++] = imagePoint.X - u;
fvec[fveci++] = imagePoint.Y - v;
}
return(fvec);
};
// optimize
var calibrate = new LevenbergMarquardt(function);
while (calibrate.State == LevenbergMarquardt.States.Running)
{
var rmsError = calibrate.MinimizeOneStep(parameters);
Console.WriteLine("rms error = " + rmsError);
}
for (int i = 0; i < nParameters; i++)
{
Console.WriteLine(parameters[i] + "\t");
}
Console.WriteLine();
// unpack parameters
{
int pi = 0;
double fx = parameters[pi++];
double fy = parameters[pi++];
double cx = parameters[pi++];
double cy = parameters[pi++];
double k1 = parameters[pi++];
double k2 = parameters[pi++];
cameraMatrix[0, 0] = fx;
cameraMatrix[1, 1] = fy;
cameraMatrix[0, 2] = cx;
cameraMatrix[1, 2] = cy;
distCoeffs[0] = k1;
distCoeffs[1] = k2;
rotation[0] = parameters[pi++];
rotation[1] = parameters[pi++];
rotation[2] = parameters[pi++];
translation[0] = parameters[pi++];
translation[1] = parameters[pi++];
translation[2] = parameters[pi++];
}
return(calibrate.RMSError);
}
public void DepthImageToColorImage(int depthX, int depthY, double depthMeters, System.Drawing.PointF[] depthFrameToCameraSpaceTable, out double colorX, out double colorY)
{
double xUndistorted, yUndistorted;
// convert to depth camera space
// use lookup table to perform undistortion; this will be faster when converting lots of points
// this matches the Kinect SDK's depthFrameToCameraSpace table (y down)
var point = depthFrameToCameraSpaceTable[depthY * Kinect2Calibration.depthImageWidth + depthX];
xUndistorted = point.X;
yUndistorted = point.Y;
var depthCamera = new Matrix(4, 1);
depthCamera[0] = xUndistorted * depthMeters;
depthCamera[1] = yUndistorted * depthMeters;
depthCamera[2] = depthMeters;
depthCamera[3] = 1;
// convert to color camera space
var colorCamera = new Matrix(4, 1);
colorCamera.Mult(depthToColorTransform, depthCamera);
// project to color image
CameraMath.Project(colorCameraMatrix, colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorX, out colorY);
// convert back to Y down
colorY = colorImageHeight - colorY;
}
public void SaveToOBJ(string directory, string objPath)
{
var objFilename = Path.GetFileNameWithoutExtension(objPath);
var objDirectory = Path.GetDirectoryName(objPath);
if (!Directory.Exists(objDirectory))
Directory.CreateDirectory(objDirectory);
// Because we need to form triangles, we go back to the depth image
var quadOffsets = new System.Drawing.Point[]
{
new System.Drawing.Point(0, 0),
new System.Drawing.Point(1, 0),
new System.Drawing.Point(0, 1),
new System.Drawing.Point(1, 0),
new System.Drawing.Point(1, 1),
new System.Drawing.Point(0, 1),
};
var streamWriter = new CultureInvariantStreamWriter(objDirectory + "/" + objFilename + ".obj");
var mtlFileWriter = new CultureInvariantStreamWriter(objDirectory + "/" + objFilename + ".mtl");
streamWriter.WriteLine("mtllib " + objFilename + ".mtl");
uint nextVertexIndex = 1;
var depthImage = new FloatImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
foreach (var camera in cameras)
{
mtlFileWriter.WriteLine("newmtl camera" + camera.name);
mtlFileWriter.WriteLine("Ka 1.000000 1.000000 1.000000");
mtlFileWriter.WriteLine("Kd 1.000000 1.000000 1.000000");
mtlFileWriter.WriteLine("Ks 0.000000 0.000000 0.000000");
mtlFileWriter.WriteLine("Tr 1.000000");
mtlFileWriter.WriteLine("illum 1");
mtlFileWriter.WriteLine("Ns 0.000000");
mtlFileWriter.WriteLine("map_Kd " + objFilename + "_" + camera.name + ".jpg");
File.Copy(directory + "/camera" + camera.name + "/color.jpg", objDirectory + "/" + objFilename + "_" + camera.name + ".jpg", true);
streamWriter.WriteLine("usemtl camera" + camera.name);
// load depth image
string cameraDirectory = directory + "/camera" + camera.name;
depthImage.LoadFromFile(cameraDirectory + "/mean.bin");
var calibration = camera.calibration;
var depthFrameToCameraSpaceTable = calibration.ComputeDepthFrameToCameraSpaceTable();
var vertices = new Vertex[Kinect2Calibration.depthImageWidth * Kinect2Calibration.depthImageHeight];
var colorCamera = new Matrix(4, 1);
var depthCamera = new Matrix(4, 1);
var world = new Matrix(4, 1);
for (int y = 0; y < Kinect2Calibration.depthImageHeight; y++)
for (int x = 0; x < Kinect2Calibration.depthImageWidth; x++)
{
// depth camera coords
var depth = depthImage[x, y] / 1000f; // m
// convert to depth camera space
var point = depthFrameToCameraSpaceTable[Kinect2Calibration.depthImageWidth * y + x];
depthCamera[0] = point.X * depth;
depthCamera[1] = point.Y * depth;
depthCamera[2] = depth;
depthCamera[3] = 1;
// world coordinates
world.Mult(camera.pose, depthCamera);
//world.Scale(1.0 / world[3]); not necessary for this transform
// convert to color camera space
colorCamera.Mult(calibration.depthToColorTransform, depthCamera);
colorCamera.Scale(1.0 / colorCamera[3]);
// project to color image
double colorU, colorV;
CameraMath.Project(calibration.colorCameraMatrix, calibration.colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorU, out colorV);
colorU /= (double)Kinect2Calibration.colorImageWidth;
colorV /= (double)Kinect2Calibration.colorImageHeight;
var vertex = new Vertex();
vertex.x = (float)world[0];
vertex.y = (float)world[1];
vertex.z = (float)world[2];
vertex.u = (float)colorU;
vertex.v = (float)colorV;
vertices[Kinect2Calibration.depthImageWidth * y + x] = vertex;
}
streamWriter.WriteLine("g camera" + camera.name);
streamWriter.WriteLine("usemtl camera" + camera.name);
// examine each triangle
for (int y = 0; y < Kinect2Calibration.depthImageHeight - 1; y++)
for (int x = 0; x < Kinect2Calibration.depthImageWidth - 1; x++)
{
int offseti = 0;
for (int tri = 0; tri < 2; tri++)
{
// the indexes of the vertices of this triangle
var i0 = Kinect2Calibration.depthImageWidth * (y + quadOffsets[offseti].Y) + (x + quadOffsets[offseti].X);
var i1 = Kinect2Calibration.depthImageWidth * (y + quadOffsets[offseti + 1].Y) + (x + quadOffsets[offseti + 1].X);
var i2 = Kinect2Calibration.depthImageWidth * (y + quadOffsets[offseti + 2].Y) + (x + quadOffsets[offseti + 2].X);
// is triangle valid?
bool nonZero = (vertices[i0].z != 0) && (vertices[i1].z != 0) && (vertices[i2].z != 0);
bool jump01 = Vertex.DistanceSquared(vertices[i0], vertices[i1]) < 0.2 * 0.2;
bool jump02 = Vertex.DistanceSquared(vertices[i0], vertices[i2]) < 0.2 * 0.2;
bool jump12 = Vertex.DistanceSquared(vertices[i1], vertices[i2]) < 0.2 * 0.2;
bool valid = nonZero && jump01 && jump02 && jump12;
if (valid)
{
// only add the vertex if we haven't already
if (vertices[i0].index == 0)
{
streamWriter.WriteLine(vertices[i0]);
vertices[i0].index = nextVertexIndex++;
}
if (vertices[i1].index == 0)
{
streamWriter.WriteLine(vertices[i1]);
vertices[i1].index = nextVertexIndex++;
}
if (vertices[i2].index == 0)
{
streamWriter.WriteLine(vertices[i2]);
vertices[i2].index = nextVertexIndex++;
}
streamWriter.WriteLine("f {0}/{0} {1}/{1} {2}/{2}", vertices[i0].index, vertices[i1].index, vertices[i2].index);
}
offseti += 3;
}
}
}
streamWriter.Close();
mtlFileWriter.Close();
}
public static void LeastSquares(Matrix x, Matrix A, Matrix b)
{
// use svd
// for overdetermined systems A*x = b
// x = V * diag(1/wj) * U T * b
// NRC p. 66
int m = A.m;
int n = A.n;
Matrix U = new Matrix(m, n), V = new Matrix(n, n), w = new Matrix(n, 1), W = new Matrix(n, n);
A.SVD(U, w, V);
w.Reciprocal();
W.Diag(w);
Matrix M = new Matrix(n, n);
M.Mult(V, W);
Matrix N = new Matrix(n, m);
N.MultAAT(M, U);
x.Mult(N, b);
}
public void UnifyPose()
{
// unify extrinsics
// greedily assign poses to projectors and cameras
// The first camera is assumed to be in world coordinates already; its pose will not be modified.
// In this way users can place the system in a useful world coordinate system that is external to calibration.
// Set all camera poses except for the first to null.
for (int i = 1; i < cameras.Count; i++)
cameras[i].pose = null;
// Keep a list of all projectors that haven't been dealt with.
var unfixed = new List<Projector>();
unfixed.AddRange(projectors);
// While "unfixed" is not empty
while (unfixed.Count > 0)
{
// For each projector in "unfixed"
Projector projectorToRemove = null;
foreach (var projector in unfixed)
{
// Is it associated with a camera that has its pose set?
Camera fixedCamera = null;
foreach (var camera in projector.calibrationPointSets.Keys)
if (camera.pose != null)
{
fixedCamera = camera;
break;
}
// If so, set pose of projector and all associated cameras; remove the projector from "unfixed" (be careful to remove outside loop)
if (fixedCamera != null)
{
// find pose of projector as concatenation of the fixed camera pose and pose from calibration
var T_CjStarW = fixedCamera.pose;
var T_CjStarPk = projector.calibrationPointSets[fixedCamera].pose;
var T_PkCjStar = new Matrix(4, 4);
T_PkCjStar.Inverse(T_CjStarPk);
var T_PkW = new Matrix(4, 4);
T_PkW.Mult(T_CjStarW, T_PkCjStar);
projector.pose = T_PkW;
// for all other cameras that do not have their pose set
foreach (var camera in projector.calibrationPointSets.Keys)
{
if (camera.pose == null)
{
// concatenate projector and local pose
var T_CjPk = projector.calibrationPointSets[camera].pose;
var T_CjW = new Matrix(4, 4);
T_CjW.Mult(T_PkW, T_CjPk);
camera.pose = T_CjW;
}
}
projectorToRemove = projector;
break;
}
}
unfixed.Remove(projectorToRemove); // if projectorToRemove null, graph is not fully connected?
}
}
public void CalibrateProjectorGroups(string directory)
{
// for all cameras, take depth image points to color image points
var depthImage = new FloatImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
var varianceImage = new FloatImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
var validMask = new ByteImage(Kinect2Calibration.depthImageWidth, Kinect2Calibration.depthImageHeight);
foreach (var camera in cameras)
{
Console.WriteLine("projecting depth points to color camera " + camera.name);
// load depth image
string cameraDirectory = directory + "/camera" + camera.name;
depthImage.LoadFromFile(cameraDirectory + "/mean.bin");
varianceImage.LoadFromFile(cameraDirectory + "/variance.bin");
validMask.Zero();
var calibration = camera.calibration;
var depthFrameToCameraSpaceTable = calibration.ComputeDepthFrameToCameraSpaceTable();
// TODO: consider using just one 4x4 in calibration class
var colorCamera = new Matrix(4, 1);
camera.colorImagePoints = new List<Matrix>();
camera.depthCameraPoints = new List<Matrix>();
var depthCamera4 = new Matrix(4, 1);
// for each valid point in depth image
int numRejected = 0;
for (int y = 0; y < Kinect2Calibration.depthImageHeight; y += 1)
for (int x = 0; x < Kinect2Calibration.depthImageWidth; x += 1)
{
float depth = depthImage[x, y] / 1000f; // m
float variance = varianceImage[x, y];
if (depth == 0)
continue;
if (variance > 6 * 6)
{
numRejected++;
continue;
}
validMask[x, y] = (byte)255;
// convert to depth camera space
var point = depthFrameToCameraSpaceTable[y * Kinect2Calibration.depthImageWidth + x];
depthCamera4[0] = point.X * depth;
depthCamera4[1] = point.Y * depth;
depthCamera4[2] = depth;
depthCamera4[3] = 1;
// convert to color camera space
colorCamera.Mult(calibration.depthToColorTransform, depthCamera4);
//colorCamera.Scale(1.0 / colorCamera[3]);
// project to color image
double colorU, colorV;
CameraMath.Project(calibration.colorCameraMatrix, calibration.colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorU, out colorV);
if ((colorU >= 0) && (colorU < (Kinect2Calibration.colorImageWidth - 1)) && (colorV >= 0) && (colorV < (Kinect2Calibration.colorImageHeight - 1))) // BEWARE: later do we round or truncate??
{
var colorImagePoint = new Matrix(2, 1);
colorImagePoint[0] = colorU;
colorImagePoint[1] = colorV;
camera.colorImagePoints.Add(colorImagePoint);
// expect a 3-vector?
var depthCamera = new Matrix(3, 1);
depthCamera[0] = depthCamera4[0];
depthCamera[1] = depthCamera4[1];
depthCamera[2] = depthCamera4[2];
camera.depthCameraPoints.Add(depthCamera);
//Console.WriteLine(depthCamera[0] + "\t" + depthCamera[1] + "\t -> " + colorImagePoint[0] + "\t" + colorImagePoint[1]);
}
}
SaveToTiff(imagingFactory, validMask, cameraDirectory + "/validMask.tiff");
Console.WriteLine("rejected " + 100 * (float)numRejected / (float)(Kinect2Calibration.depthImageWidth * Kinect2Calibration.depthImageHeight) + "% pixels for high variance");
}
// we never save colorImagePoints, depthCameraPoints, so we must remember to run previous
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
// use decoded Gray code images to create calibration point sets
foreach (var projector in projectors)
{
string projectorDirectory = directory + "/projector" + projector.name;
projector.calibrationPointSets = new Dictionary<Camera, CalibrationPointSet>();
foreach (var camera in cameras)
{
string cameraDirectory = projectorDirectory + "/camera" + camera.name;
var decodedColumns = new ShortImage(Kinect2Calibration.colorImageWidth, Kinect2Calibration.colorImageHeight);
var decodedRows = new ShortImage(Kinect2Calibration.colorImageWidth, Kinect2Calibration.colorImageHeight);
var mask = new ByteImage(Kinect2Calibration.colorImageWidth, Kinect2Calibration.colorImageHeight);
LoadFromTiff(imagingFactory, decodedColumns, cameraDirectory + "/decodedColumns.tiff");
LoadFromTiff(imagingFactory, decodedRows, cameraDirectory + "/decodedRows.tiff");
LoadFromTiff(imagingFactory, mask, cameraDirectory + "/mask.tiff");
// we have a bunch of color camera / depth camera point corrspondences
// use the Gray code to find the position of the color camera point in the projector frame
// find 2D projector coordinates from decoded Gray code images
var imagePoints = new List<System.Drawing.PointF>();
var worldPoints = new List<Matrix>();
for (int i = 0; i < camera.colorImagePoints.Count; i++)
{
var colorImagePoint = camera.colorImagePoints[i];
// We would like to relate projected color points to color images stored in memory.
// The Kinect SDK and our camera calibration assumes X left, Y up (from the POV of the camera).
// We index images in memory with X right and Y down.
// Our Gray code images are flipped in the horizontal direction.
// Therefore to map an image space coordinate to a memory location we flip Y (and not X):
int x = (int)(colorImagePoint[0] + 0.5f);
int y = Kinect2Calibration.colorImageHeight - (int)(colorImagePoint[1] + 0.5f);
if ((x < 0) || (x >= Kinect2Calibration.colorImageWidth) || (y < 0) || (y >= Kinect2Calibration.colorImageHeight))
{
//Console.WriteLine("out of bounds");
continue;
}
if (mask[x, y] > 0) // Gray code is valid
{
// We would like to relate decoded row/column values to projector coordinates.
// To match the camera, we want projector's coordinate system X left, Y up (from the POV of the projector).
// We assume that the projector is configured in front projection mode (i.e., projected text looks correct in the real world).
// In that case decoded columns run X right (in the real world), decoded rows run Y down (in the real world).
// So we need to flip both X and Y decoded values.
var projectorImagePoint = new System.Drawing.PointF(projector.width - decodedColumns[x, y], projector.height - decodedRows[x, y]);
var depthCameraPoint = camera.depthCameraPoints[i];
imagePoints.Add(projectorImagePoint);
worldPoints.Add(depthCameraPoint);
//Console.WriteLine(depthCameraPoint[0] + "\t" + depthCameraPoint[1] + "\t" + depthCameraPoint[2] + "-> \t" + x + "\t" + y + "-> \t" + projectorImagePoint.X + "\t" + projectorImagePoint.Y);
}
}
if (worldPoints.Count > 1000)
{
var pointSet = new CalibrationPointSet();
pointSet.worldPoints = worldPoints;
pointSet.imagePoints = imagePoints;
projector.calibrationPointSets[camera] = pointSet;
Console.WriteLine("projector " + projector.name + " is seen by camera " + camera.name + " (" + worldPoints.Count + " points)");
}
}
}
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
// calibration
foreach (var projector in projectors)
{
Console.WriteLine("calibrating projector " + projector.name);
string projectorDirectory = directory + "/projector" + projector.name;
// RANSAC
double minError = Double.PositiveInfinity;
var random = new Random(0); // provide seed to ease debugging
int numCompletedFits = 0;
for (int i = 0; (numCompletedFits < 4) && (i < 10); i++)
{
Console.WriteLine("RANSAC iteration " + i);
// randomly select small number of points from each calibration set
var worldPointSubsets = new List<List<Matrix>>();
var imagePointSubsets = new List<List<System.Drawing.PointF>>();
bool foundNonplanarSubset = false;
foreach (var pointSet in projector.calibrationPointSets.Values)
{
var worldPointSubset = new List<Matrix>();
var imagePointSubset = new List<System.Drawing.PointF>();
// try to find a nonplanar subset
bool planar = true;
int nTries = 0;
while (planar && (nTries++ < 1000))
{
worldPointSubset.Clear();
imagePointSubset.Clear();
for (int j = 0; j < 100; j++)
{
int k = random.Next(pointSet.worldPoints.Count);
worldPointSubset.Add(pointSet.worldPoints[k]);
imagePointSubset.Add(pointSet.imagePoints[k]);
}
// planar?
Matrix Rplane, tplane, d;
CameraMath.PlaneFit(worldPointSubset, out Rplane, out tplane, out d);
//Console.WriteLine("planar : " + d[2] / d[1]);
planar = (d[2] / d[1]) < 0.001f;
}
worldPointSubsets.Add(worldPointSubset);
imagePointSubsets.Add(imagePointSubset);
// we can't initialize extrinsics yet, because we don't know which intrinsics we'll be using
if (!planar)
foundNonplanarSubset = true;
}
// we do not optimize intrinsics if all the point sets are planar, or if the projector intrinsics are marked as locked
bool fixIntrinsics = (!foundNonplanarSubset) || (projector.lockIntrinsics); // TODO: add option to lock intrinsics
var rotations = new List<Matrix>();
var translations = new List<Matrix>();
var cameraMatrix = new Matrix(3, 3);
var distCoeffs = new Matrix(2, 1);
if (fixIntrinsics)
{
cameraMatrix.Copy(projector.cameraMatrix);
distCoeffs.Copy(projector.lensDistortion);
}
else // nonplanar, so we can optimize intrinsics
{
cameraMatrix[0, 0] = 1000; //fx TODO: can we instead init this from FOV?
cameraMatrix[1, 1] = 1000; //fy
cameraMatrix[0, 2] = projector.width / 2; //cx
cameraMatrix[1, 2] = 0; // projector lens shift; note this assumes desktop projection mode
cameraMatrix[2, 2] = 1;
}
// init extrinsics
for (int ii = 0; ii < worldPointSubsets.Count; ii++)
{
Matrix R, t;
CameraMath.ExtrinsicsInit(cameraMatrix, distCoeffs, worldPointSubsets[ii], imagePointSubsets[ii], out R, out t);
rotations.Add(CameraMath.RotationVectorFromRotationMatrix(R));
translations.Add(t);
}
// initial RANSAC fit on subset of points
double error;
if (fixIntrinsics)
error = CameraMath.CalibrateCameraExtrinsicsOnly(worldPointSubsets, imagePointSubsets, cameraMatrix, ref rotations, ref translations);
else
error = CameraMath.CalibrateCamera(worldPointSubsets, imagePointSubsets, cameraMatrix, ref rotations, ref translations);
Console.WriteLine("error on subset = " + error);
// RANSAC: find inliers from overall dataset
var worldPointInlierSets = new List<List<Matrix>>();
var imagePointInlierSets = new List<List<System.Drawing.PointF>>();
int setIndex = 0;
bool enoughInliers = true;
double sumError = 0;
int pointsInSum = 0;
int totalInliers = 0;
int totalPoints = 0;
foreach (var pointSet in projector.calibrationPointSets.Values)
{
var worldPointInlierSet = new List<Matrix>();
var imagePointInlierSet = new List<System.Drawing.PointF>();
var R = CameraMath.RotationMatrixFromRotationVector(rotations[setIndex]);
var t = translations[setIndex];
var p = new Matrix(3, 1);
for (int k = 0; k < pointSet.worldPoints.Count; k++)
{
p.Mult(R, pointSet.worldPoints[k]);
p.Add(t);
double u, v;
CameraMath.Project(cameraMatrix, distCoeffs, p[0], p[1], p[2], out u, out v);
double dx = pointSet.imagePoints[k].X - u;
double dy = pointSet.imagePoints[k].Y - v;
double thisError = Math.Sqrt((dx * dx) + (dy * dy));
if (thisError < 2.0f) // TODO: how to set this?
{
worldPointInlierSet.Add(pointSet.worldPoints[k]);
imagePointInlierSet.Add(pointSet.imagePoints[k]);
}
sumError += thisError * thisError;
pointsInSum++;
}
setIndex++;
// require that each view has a minimum number of inliers
enoughInliers = enoughInliers && (worldPointInlierSet.Count > 500); // should be related to min number of points in set (above)
totalPoints += pointSet.worldPoints.Count;
totalInliers += worldPointInlierSet.Count;
worldPointInlierSets.Add(worldPointInlierSet);
imagePointInlierSets.Add(imagePointInlierSet);
}
Console.WriteLine("{0}/{1} inliers", totalInliers, totalPoints);
// if number of inliers > some threshold (should be for each subset)
if (enoughInliers) // should this threshold be a function of the number of cameras, a percentage?
{
double error2;
if (fixIntrinsics)
error2 = CameraMath.CalibrateCameraExtrinsicsOnly(worldPointInlierSets, imagePointInlierSets, cameraMatrix, ref rotations, ref translations);
else
error2 = CameraMath.CalibrateCamera(worldPointInlierSets, imagePointInlierSets, cameraMatrix, ref rotations, ref translations);
Console.WriteLine("error with inliers = " + error2);
Console.Write("camera matrix = \n" + cameraMatrix);
numCompletedFits++;
// if reduced error save model (save rotation and translation to calibrationPointSets, cameraMatrix and distortion coeffs to projector)
if (error2 < minError)
{
minError = error2;
projector.cameraMatrix = cameraMatrix;
projector.lensDistortion = distCoeffs;
setIndex = 0;
foreach (var pointSet in projector.calibrationPointSets.Values)
{
// convert to 4x4 transform
var R = CameraMath.RotationMatrixFromRotationVector(rotations[setIndex]);
var t = translations[setIndex];
var T = new Matrix(4, 4);
T.Identity();
for (int ii = 0; ii < 3; ii++)
{
for (int jj = 0; jj < 3; jj++)
T[ii, jj] = R[ii, jj];
T[ii, 3] = t[ii];
}
pointSet.pose = T;
pointSet.worldPointInliers = worldPointInlierSets[setIndex];
pointSet.imagePointInliers = imagePointInlierSets[setIndex];
setIndex++;
}
}
}
}
if (numCompletedFits == 0)
throw new CalibrationFailedException("Unable to successfully calibrate projector: " + projector.name);
Console.WriteLine("final calibration:");
Console.Write("camera matrix = \n" + projector.cameraMatrix);
Console.Write("distortion = \n" + projector.lensDistortion);
Console.WriteLine("error = " + minError);
foreach (var camera in projector.calibrationPointSets.Keys)
{
Console.WriteLine("camera " + camera.name + " pose:");
Console.Write(projector.calibrationPointSets[camera].pose);
}
}
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
//Console.WriteLine("x = [");
//for (int ii = 0; ii < imagePointSubsets[0].Count; ii++)
// Console.WriteLine("{0} {1}", imagePointSubsets[0][ii].X, imagePointSubsets[0][ii].Y);
//Console.WriteLine("]';");
//Console.WriteLine("X = [");
//for (int ii = 0; ii < worldPointSubsets[0].Count; ii++)
// Console.WriteLine("{0} {1} {2}", worldPointSubsets[0][ii][0], worldPointSubsets[0][ii][1], worldPointSubsets[0][ii][2]);
//Console.WriteLine("]';");
//Console.WriteLine("fc = [{0} {1}];", projector.cameraMatrix[0, 0], projector.cameraMatrix[1, 1]);
//Console.WriteLine("cc = [{0} {1}];", projector.cameraMatrix[0, 2], projector.cameraMatrix[1, 2]);
//Matrix thisR, thist;
//{
// Matrix Rplane, tplane;
// CameraMath.PlaneFit(worldPointSubsets[0], out Rplane, out tplane);
// CameraMath.PlanarDLT(projector.cameraMatrix, projector.lensDistortion, worldPointSubsets[0], imagePointSubsets[0], Rplane, tplane, out thisR, out thist);
// //Console.WriteLine("DLT---------");
// //Console.WriteLine(thisR);
// //Console.WriteLine(thist);
//}
//// if pattern is not planar, we can recover projector intrinsics
//List<RoomAliveToolkit.Matrix> rotations = null;
//List<RoomAliveToolkit.Matrix> translations = null;
//var error = CalibrateCamera(worldPointSubsets, imagePointSubsets, cameraMatrix, ref rotations, ref translations);
//Console.WriteLine("error = " + error);
// we check whether each view is planar, so that we can use the correct version of DLT
// the overall set may not be planar however, so we have to check the union of points
// if overall set is planar, leave intrinsics alone
//
}
public void DepthImageToColorImage(double depthX, double depthY, double depthMeters, out double colorX, out double colorY)
{
double xUndistorted, yUndistorted;
// convert to depth camera space
float fx = (float)depthCameraMatrix[0, 0];
float fy = (float)depthCameraMatrix[1, 1];
float cx = (float)depthCameraMatrix[0, 2];
float cy = (float)depthCameraMatrix[1, 2];
float[] kappa = new float[] { (float)depthLensDistortion[0], (float)depthLensDistortion[1] };
// flip y because our calibration expects y up (right handed coordinates at all times)
CameraMath.Undistort(fx, fy, cx, cy, kappa, depthX, (depthImageHeight - depthY), out xUndistorted, out yUndistorted);
var depthCamera = new Matrix(4, 1);
depthCamera[0] = xUndistorted * depthMeters;
depthCamera[1] = yUndistorted * depthMeters;
depthCamera[2] = depthMeters;
depthCamera[3] = 1;
// convert to color camera space
var colorCamera = new Matrix(4, 1);
colorCamera.Mult(depthToColorTransform, depthCamera);
// project to color image
CameraMath.Project(colorCameraMatrix, colorLensDistortion, colorCamera[0], colorCamera[1], colorCamera[2], out colorX, out colorY);
// convert back to Y down
colorY = colorImageHeight - colorY;
}
public void OptimizePose()
{
UnifyPose();
// joint estimate of projector and camera pose
// minimize wrt T_CjW, T_WPk: Sum_ijk v_ijk [ p_k( T_WPk T_CjW x_i ) - y_ik ]^2
// cameras observe points x_i (in camera coords)
// point x_i is observed to project to point y_ik in projector k
// v_ijk === 1 if point i is observed by camera j and imaged by projector k
// p_k(x) projects point x in projector k; x in projector coordinates
// T_CjW camera j local coordinates to world coordinates
// T_WPk world to projector k coorindates
// efficient implementation: list of points x_ijk for which v_ijk != 0; store j, k with each point x_i
// solve for C_j, P_k; C_0 is not in the set of parameters
// parameters: for each projector and camera: 1 rotation + 1 translation = 6 parameters
// We leave T_C0W fixed, so have 6 * (numProjectors + numCameras - 1) parameters
int nParameters = 6 * (projectors.Count + cameras.Count - 1);
//double[] parameters = new double[nParameters];
var parameters = new Matrix(nParameters, 1);
// loop over room.cameras, room.projectors to form up parameters array
{
int pi = 0; // index into our parameter array
for (int i = 1; i < cameras.Count; i++) // skip first one, which is our root
{
var T = cameras[i].pose;
var R = new Matrix(3, 3);
var t = new Matrix(3, 1);
for (int ii = 0; ii < 3; ii++)
{
t[ii] = T[ii, 3];
for (int jj = 0; jj < 3; jj++)
R[ii, jj] = T[ii, jj];
}
var r = CameraMath.RotationVectorFromRotationMatrix(R);
for (int ii = 0; ii < 3; ii++)
parameters[pi++] = r[ii];
for (int ii = 0; ii < 3; ii++)
parameters[pi++] = t[ii];
}
for (int i = 0; i < projectors.Count; i++)
{
var T = projectors[i].pose;
var R = new Matrix(3, 3);
var t = new Matrix(3, 1);
for (int ii = 0; ii < 3; ii++)
{
t[ii] = T[ii, 3];
for (int jj = 0; jj < 3; jj++)
R[ii, jj] = T[ii, jj];
}
var r = CameraMath.RotationVectorFromRotationMatrix(R);
for (int ii = 0; ii < 3; ii++)
parameters[pi++] = r[ii];
for (int ii = 0; ii < 3; ii++)
parameters[pi++] = t[ii];
}
}
// count the number of values
// use only inliers from previous step
int nValues = 0;
foreach (var projector in projectors)
foreach (var camera in projector.calibrationPointSets.Keys)
nValues += projector.calibrationPointSets[camera].worldPointInliers.Count * 2; // count components
LevenbergMarquardt.Function optimize = delegate(Matrix p)
{
var fvec = new Matrix(nValues, 1);
// convert p to transforms etc.
// convert back to transforms and put back in our structures
int pi = 0; // index into our parameter array
for (int i = 1; i < cameras.Count; i++) // skip first one, which is our root
{
var r = new Matrix(3, 1);
r[0] = p[pi++];
r[1] = p[pi++];
r[2] = p[pi++];
var R = CameraMath.RotationMatrixFromRotationVector(r);
var t = new Matrix(3, 1);
t[0] = p[pi++];
t[1] = p[pi++];
t[2] = p[pi++];
var T = new Matrix(4, 4);
T.Identity();
for (int ii = 0; ii < 3; ii++)
{
for (int jj = 0; jj < 3; jj++)
T[ii, jj] = R[ii, jj];
T[ii, 3] = t[ii];
}
cameras[i].pose = T;
}
for (int i = 0; i < projectors.Count; i++)
{
var r = new Matrix(3, 1);
r[0] = p[pi++];
r[1] = p[pi++];
r[2] = p[pi++];
var R = CameraMath.RotationMatrixFromRotationVector(r);
var t = new Matrix(3, 1);
t[0] = p[pi++];
t[1] = p[pi++];
t[2] = p[pi++];
var T = new Matrix(4, 4);
T.Identity();
for (int ii = 0; ii < 3; ii++)
{
for (int jj = 0; jj < 3; jj++)
T[ii, jj] = R[ii, jj];
T[ii, 3] = t[ii];
}
projectors[i].pose = T;
}
int fveci = 0; // index into our fvec array
foreach (var projector in projectors)
{
// T_WPk is inverse of T_PkW, projector pose
var T_WPk = new Matrix(4, 4);
T_WPk.Inverse(projector.pose);
foreach (var camera in projector.calibrationPointSets.Keys)
{
var cameraPoints = projector.calibrationPointSets[camera].worldPointInliers;
var projectorPoints = projector.calibrationPointSets[camera].imagePointInliers;
// transforms camera to projector coordinates
var T_CjW = camera.pose;
var T_CjPk = new Matrix(4, 4);
T_CjPk.Mult(T_WPk, T_CjW);
var cameraInProjector4 = new Matrix(4, 1);
cameraInProjector4[3] = 1;
var cameraPoint4 = new Matrix(4, 1);
cameraPoint4[3] = 1;
for (int i = 0; i < cameraPoints.Count; i++)
{
var cameraPoint = cameraPoints[i];
cameraPoint4[0] = cameraPoint[0];
cameraPoint4[1] = cameraPoint[1];
cameraPoint4[2] = cameraPoint[2];
cameraInProjector4.Mult(T_CjPk, cameraPoint4);
cameraInProjector4.Scale(1.0 / cameraInProjector4[3]);
// fvec_i = y_i - p_k( T_CjPk x_i );
double u, v;
CameraMath.Project(projector.cameraMatrix, projector.lensDistortion, cameraInProjector4[0], cameraInProjector4[1], cameraInProjector4[2], out u, out v);
var projectorPoint = projectorPoints[i];
fvec[fveci++] = projectorPoint.X - u;
fvec[fveci++] = projectorPoint.Y - v;
}
}
}
//double sum = 0;
//for (int i = 0; i < nValues; i++)
// sum += fvec[i] * fvec[i];
//double rms = Math.Sqrt(sum / (double)nValues);
//Console.WriteLine("in functor, rms == " + rms);
return fvec;
};
// TODO: maybe compute error before final optimization
var calibrate = new LevenbergMarquardt(optimize);
calibrate.minimumReduction = 1.0e-4;
while (calibrate.State == LevenbergMarquardt.States.Running)
{
double rmsError = calibrate.MinimizeOneStep(parameters);
Console.WriteLine("rms error = " + rmsError);
}
//for (int i = 0; i < nParameters; i++)
// Console.WriteLine(parameters[i] + "\t");
//Console.WriteLine();
// convert back to transforms and put back in our structures
{
int pi = 0; // index into our parameter array
for (int i = 1; i < cameras.Count; i++) // skip first one, which is our root
{
var r = new Matrix(3, 1);
r[0] = parameters[pi++];
r[1] = parameters[pi++];
r[2] = parameters[pi++];
var R = CameraMath.RotationMatrixFromRotationVector(r);
var t = new Matrix(3, 1);
t[0] = parameters[pi++];
t[1] = parameters[pi++];
t[2] = parameters[pi++];
var T = new Matrix(4, 4);
T.Identity();
for (int ii = 0; ii < 3; ii++)
{
for (int jj = 0; jj < 3; jj++)
T[ii, jj] = R[ii, jj];
T[ii, 3] = t[ii];
}
cameras[i].pose = T;
}
for (int i = 0; i < projectors.Count; i++)
{
var r = new Matrix(3, 1);
r[0] = parameters[pi++];
r[1] = parameters[pi++];
r[2] = parameters[pi++];
var R = CameraMath.RotationMatrixFromRotationVector(r);
var t = new Matrix(3, 1);
t[0] = parameters[pi++];
t[1] = parameters[pi++];
t[2] = parameters[pi++];
var T = new Matrix(4, 4);
T.Identity();
for (int ii = 0; ii < 3; ii++)
{
for (int jj = 0; jj < 3; jj++)
T[ii, jj] = R[ii, jj];
T[ii, 3] = t[ii];
}
projectors[i].pose = T;
}
}
Console.WriteLine("elapsed time " + stopWatch.ElapsedMilliseconds);
}
public void ColorImageToDepthImage(int colorX, int colorY, ShortImage depthImage, System.Drawing.PointF[] colorFrameToCameraSpaceTable, out Matrix depthPoint, out double depthX, out double depthY)
{
double xUndistorted, yUndistorted;
// convert to color camera space
// use lookup table to perform undistortion; this will be faster when converting lots of points
var point = colorFrameToCameraSpaceTable[colorY * Kinect2Calibration.colorImageWidth + colorX];
xUndistorted = point.X;
yUndistorted = point.Y;
var colorToDepthTransform = new Matrix(4, 4);
colorToDepthTransform.Inverse(depthToColorTransform);
var colorPoint = new Matrix(4, 1);
depthPoint = new Matrix(4, 1);
depthX = 0; depthY = 0;
// walk along ray in color camera
bool found = false;
for (int s = 400; (s < 4500) && !found; s++) // TODO: confirm these limits (mm)
{
// convert to a 3D point along ray, in meters
colorPoint[0] = xUndistorted * s / 1000.0;
colorPoint[1] = yUndistorted * s / 1000.0;
colorPoint[2] = s / 1000.0;
colorPoint[3] = 1;
// transform to depth camera 3D point and project
depthPoint.Mult(colorToDepthTransform, colorPoint);
CameraMath.Project(depthCameraMatrix, depthLensDistortion, depthPoint[0], depthPoint[1], depthPoint[2], out depthX, out depthY);
int x = (int)depthX;
// Y down, since we are indexing into an image
int y = depthImageHeight - (int)depthY;
if ((x >= 0) && (x < depthImageWidth) && (y >= 0) && (y < depthImageHeight))
{
int z = depthImage[x, y];
if ((z != 0) && (z < s))
found = true;
}
}
// convert back to Y down
depthY = depthImageHeight - depthY;
}
public static List<RoomAliveToolkit.Matrix> TransformPoints(RoomAliveToolkit.Matrix A, List<RoomAliveToolkit.Matrix> points)
{
var transformedPoints = new List<RoomAliveToolkit.Matrix>();
var point4 = new RoomAliveToolkit.Matrix(4, 1);
point4[3] = 1;
var transformedPoint4 = new RoomAliveToolkit.Matrix(4, 1);
foreach (var point in points)
{
point4[0] = point[0]; point4[1] = point[1]; point4[2] = point[2];
transformedPoint4.Mult(A, point4);
transformedPoint4.Scale(1.0f / transformedPoint4[3]);
var transformedPoint = new RoomAliveToolkit.Matrix(3, 1);
transformedPoint[0] = transformedPoint4[0]; transformedPoint[1] = transformedPoint4[1]; transformedPoint[2] = transformedPoint4[2];
transformedPoints.Add(transformedPoint);
}
return transformedPoints;
}
