/// <summary>
/// Create a visible color shaded image of a point cloud and its normals with simple
/// grayscale L.N surface shading. All image frames must have the same width and height.
/// </summary>
/// <param name="pointCloudFrame">The point cloud frame to be shaded.</param>
/// <param name="worldToCameraTransform">
/// The world to camera transform (camera pose) where the raycast was performed from.
/// Pass identity if the point cloud did not originate from a raycast and is in the
/// camera local coordinate system.
/// </param>
/// <param name="shadedSurfaceFrame">
/// Optionally, a pre-allocated color image frame, to be filled with the grayscale L.N
/// shaded surface image. Pass null to skip this image.
/// </param>
/// <param name="shadedSurfaceNormalsFrame">
/// Optionally, a pre-allocated color image frame, to be filled with the color shaded
/// normals image with color indicating orientation. Pass null to skip this image.
/// </param>
/// <exception cref="ArgumentNullException">
/// Thrown when the <paramref name="pointCloudFrame"/> parameter is null.
/// </exception>
/// <exception cref="ArgumentException">
/// Thrown when the <paramref name="pointCloudFrame"/> or <paramref name="shadedSurfaceFrame"/>
/// or <paramref name="shadedSurfaceNormalsFrame"/> parameters are different image sizes.
/// Thrown when the <paramref name="pointCloudFrame"/> or <paramref name="shadedSurfaceFrame"/>
/// or <paramref name="shadedSurfaceNormalsFrame"/> parameters have different camera parameters.
/// </exception>
/// <exception cref="OutOfMemoryException">
/// Thrown if a CPU memory allocation failed.
/// </exception>
/// <exception cref="InvalidOperationException">
/// Thrown when the Kinect Runtime could not be accessed, the device is not connected,
/// a GPU memory allocation failed or the call failed for an unknown reason.
/// </exception>
public static void ShadePointCloud(
FusionPointCloudImageFrame pointCloudFrame,
Matrix4 worldToCameraTransform,
FusionColorImageFrame shadedSurfaceFrame,
FusionColorImageFrame shadedSurfaceNormalsFrame)
{
if (null == pointCloudFrame)
{
throw new ArgumentNullException("pointCloudFrame");
}
ExceptionHelper.ThrowIfFailed(NativeMethods.NuiFusionShadePointCloud2(
FusionImageFrame.ToHandleRef(pointCloudFrame),
ref worldToCameraTransform,
IntPtr.Zero,
FusionImageFrame.ToHandleRef(shadedSurfaceFrame),
FusionImageFrame.ToHandleRef(shadedSurfaceNormalsFrame)));
}
/// <summary>
/// Find the most similar camera poses to the current camera input by comparing against the
/// camera pose finder database, and returning a set of similar camera poses. These poses
/// and similarity measurements are ordered in terms of decreasing similarity (i.e. the most
/// similar is first). Both input depth and color frames must be identical sizes, with valid
/// camera parameters and captured at the same time.
/// </summary>
/// <param name="depthFloatFrame">The depth float frame to be processed.</param>
/// <param name="colorFrame">The color frame to be processed.</param>
/// <returns>Returns the matched frames object created by the camera pose finder.</returns>
/// <exception cref="ArgumentNullException">
/// Thrown when the <paramref name="depthFloatFrame"/> or <paramref name="colorFrame"/>
/// parameter is null. </exception>
/// <exception cref="ArgumentException">
/// Thrown when the <paramref name="depthFloatFrame"/> and <paramref name="colorFrame"/>
/// parameter is an incorrect or different image size, or their <c>CameraParameters</c>
/// member is null or has incorrectly sized focal lengths.</exception>
/// <exception cref="InvalidOperationException">
/// Thrown when the Kinect Runtime could not be accessed,
/// or the call failed for an unknown reason.
/// </exception>
/// <returns>Returns a set of matched frames/poses.</returns>
public MatchCandidates FindCameraPose(
FusionFloatImageFrame depthFloatFrame,
FusionColorImageFrame colorFrame)
{
if (null == depthFloatFrame)
{
throw new ArgumentNullException("depthFloatFrame");
}
if (null == colorFrame)
{
throw new ArgumentNullException("colorFrame");
}
INuiFusionMatchCandidates matchCandidates = null;
ExceptionHelper.ThrowIfFailed(cameraPoseFinder.FindCameraPose(
FusionImageFrame.ToHandleRef(depthFloatFrame),
FusionImageFrame.ToHandleRef(colorFrame),
out matchCandidates));
return(new MatchCandidates(matchCandidates));
}
/// <summary>
/// The AlignPointClouds function uses an iterative algorithm to align two sets of oriented
/// point clouds and calculate the camera's relative pose. This is a generic function which
/// can be used independently of a Reconstruction Volume with sets of overlapping point clouds.
/// All images must be the same size and have the same camera parameters.
/// To find the frame-to-frame relative transformation between two sets of point clouds in
/// the camera local frame of reference (created by DepthFloatFrameToPointCloud),
/// set the <paramref name="observedToReferenceTransform"/> to the identity.
/// To calculate the frame-to-model pose transformation between point clouds calculated from
/// new depth frames with DepthFloatFrameToPointCloud and point clouds calculated from an
/// existing Reconstruction volume with CalculatePointCloud (e.g. from the previous frame),
/// pass the CalculatePointCloud image as the reference frame, and the current depth frame
/// point cloud from DepthFloatFrameToPointCloud as the observed frame. Set the
/// <paramref name="observedToReferenceTransform"/> to the previous frames calculated camera
/// pose that was used in the CalculatePointCloud call.
/// Note that here the current frame point cloud will be in the camera local frame of
/// reference, whereas the raycast points and normals will be in the global/world coordinate
/// system. By passing the <paramref name="observedToReferenceTransform"/> you make the
/// algorithm aware of the transformation between the two coordinate systems.
/// The <paramref name="observedToReferenceTransform"/> pose supplied can also take into
/// account information you may have from other sensors or sensing mechanisms to aid the
/// tracking. To do this multiply the relative frame to frame delta transformation from
/// the other sensing system with the previous frame's pose before passing to this function.
/// Note that any delta transform used should be in the same coordinate system as that
/// returned by the DepthFloatFrameToPointCloud calculation.
/// </summary>
/// <param name="referencePointCloudFrame">
/// The point cloud frame of the reference camera, or the previous Kinect point cloud frame.
/// </param>
/// <param name="observedPointCloudFrame">
/// The point cloud frame of the observed camera, or the current Kinect frame.
/// </param>
/// <param name="maxAlignIterationCount">
/// The maximum number of iterations of the algorithm to run. The minimum value is 1.
/// Using only a small number of iterations will have a faster runtime, however, the
/// algorithm may not converge to the correct transformation.
/// </param>
/// <param name="deltaFromReferenceFrame">
/// Optionally, a pre-allocated color image frame, to be filled with color-coded data
/// from the camera tracking. This may be used as input to additional vision algorithms such as
/// object segmentation. Values vary depending on whether the pixel was a valid pixel used in
/// tracking (inlier) or failed in different tests (outlier). 0xff000000 indicates an invalid
/// input vertex (e.g. from 0 input depth), or one where no correspondences occur between point
/// cloud images. Outlier vertices rejected due to too large a distance between vertices are
/// coded as 0xff008000. Outlier vertices rejected due to to large a difference in normal angle
/// between point clouds are coded as 0xff800000. Inliers are color shaded depending on the
/// residual energy at that point, with more saturated colors indicating more discrepancy
/// between vertices and less saturated colors (i.e. more white) representing less discrepancy,
/// or less information at that pixel. Pass null if this image is not required.
/// </param>
/// <param name="observedToReferenceTransform">
/// A pre-allocated transformation matrix. At entry to the function this should be filled
/// with the best guess for the observed to reference transform (usually the last frame's
/// calculated pose). At exit this is filled with he calculated pose or identity if the
/// calculation failed.
/// </param>
/// <returns>
/// Returns true if successful; returns false if the algorithm encountered a problem aligning
/// the input point clouds and could not calculate a valid transformation, and
/// the <paramref name="observedToReferenceTransform"/> parameter is set to identity.
/// </returns>
/// <exception cref="ArgumentNullException">
/// Thrown when the <paramref name="referencePointCloudFrame"/> or the
/// <paramref name="observedPointCloudFrame"/> parameter is null.
/// </exception>
/// <exception cref="ArgumentException">
/// Thrown when the <paramref name="referencePointCloudFrame"/> or <paramref name="observedPointCloudFrame"/>
/// or <paramref name="deltaFromReferenceFrame"/> parameters are different image sizes.
/// Thrown when the <paramref name="referencePointCloudFrame"/> or <paramref name="observedPointCloudFrame"/>
/// or <paramref name="deltaFromReferenceFrame"/> parameters have different camera parameters.
/// Thrown when the <paramref name="maxAlignIterationCount"/> parameter is less than 1.
/// </exception>
/// <exception cref="OutOfMemoryException">
/// Thrown if a CPU memory allocation failed.
/// </exception>
/// <exception cref="InvalidOperationException">
/// Thrown when the Kinect Runtime could not be accessed, the device is not connected,
/// a GPU memory allocation failed or the call failed for an unknown reason.
/// </exception>
public static bool AlignPointClouds(
FusionPointCloudImageFrame referencePointCloudFrame,
FusionPointCloudImageFrame observedPointCloudFrame,
int maxAlignIterationCount,
FusionColorImageFrame deltaFromReferenceFrame,
ref Matrix4 observedToReferenceTransform)
{
if (null == referencePointCloudFrame)
{
throw new ArgumentNullException("referencePointCloudFrame");
}
if (null == observedPointCloudFrame)
{
throw new ArgumentNullException("observedPointCloudFrame");
}
ushort maxIterations = ExceptionHelper.CastAndThrowIfOutOfUshortRange(maxAlignIterationCount);
HRESULT hr = NativeMethods.NuiFusionAlignPointClouds(
FusionImageFrame.ToHandleRef(referencePointCloudFrame),
FusionImageFrame.ToHandleRef(observedPointCloudFrame),
maxIterations,
FusionImageFrame.ToHandleRef(deltaFromReferenceFrame),
ref observedToReferenceTransform);
if (hr == HRESULT.E_NUI_FUSION_TRACKING_ERROR)
{
return(false);
}
else
{
ExceptionHelper.ThrowIfFailed(hr);
}
return(true);
}