int isExtremum(int octave, int interval, int c, int r)
{
//! Non Maximal Suppression function
float val = getVal(octave, interval, c, r);
int step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, octave));
// reject points with low response to the det of hessian function
if (val < thres)
{
return(0);
}
// check for maximum
for (int i = -1; i <= 1; i++)
{
for (int j = -step; j <= step; j += step)
{
for (int k = -step; k <= step; k += step)
{
if (i != 0 || j != 0 || k != 0)
{
if (getVal(octave, interval + i, c + j, r + k) > val)
{
return(0);
}
}
}
}
}
return(1);
}
public IplImage BuildIntegral(string Path)
{
// Builds the ImageIntegral. maybe takes a file if already saved.
IplImage vret = null;
float[] imageDataD = COpenSURF.ImageIntegral(imageData, width, height, widthStep);
if (Path != null)
{
FileStream pfd = null;
try
{
pfd = new FileStream(Path + ".INT", FileMode.Create, FileAccess.Write);
BinaryWriter pbw = new BinaryWriter(pfd);
pbw.Write(width);
pbw.Write(height);
foreach (float value in imageDataD)
{
pbw.Write(value);
}
}
finally
{
if (pfd != null)
{
pfd.Close();
}
}
}
vret = new IplImage(imageDataD, width, height, widthStep);
return(vret);
}
void interp_extremum(int octv, int intvl, int r, int c)
{
double xi = 0, xr = 0, xc = 0;
int step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, octv));
// Get the offsets to the actual location of the extremum
bool bok = interp_step(octv, intvl, r, c, out xi, out xr, out xc);
if (bok == false)
{
return;
}
// If point is sufficiently close to the actual extremum
if (COpenSURF.fabs((float)xi) <= 0.5 && COpenSURF.fabs((float)xr) <= 0.5 && COpenSURF.fabs((float)xc) <= 0.5)
{
// Create Ipoint and push onto Ipoints vector
Ipoint ipt = new Ipoint();
ipt.x = (float)(c + step * xc);
ipt.y = (float)(r + step * xr);
ipt.scale = (float)((1.2f / 9.0f) * (3 * (COpenSURF.pow(2.0f, octv + 1) * (intvl + xi + 1) + 1)));
ipt.laplacian = (int)getLaplacian(octv, intvl, c, r);
ipts.Add(ipt);
}
}
void getUprightDescriptor()
{
int y, x, count = 0;
int scale;
float dx, dy, mdx, mdy;
float gauss, rx, ry, len = 0.0f;
float[] desc;
Ipoint ipt = ipts[index];
scale = (int)ipt.scale;
y = COpenSURF.cvRound(ipt.y);
x = COpenSURF.cvRound(ipt.x);
desc = ipt.descriptor;
// Calculate descriptor for this interest point
for (int i = -10; i < 10; i += 5)
{
for (int j = -10; j < 10; j += 5)
{
dx = dy = mdx = mdy = 0;
for (int k = i; k < i + 5; ++k)
{
for (int l = j; l < j + 5; ++l)
{
// get Gaussian weighted x and y responses
gauss = COpenSURF.gaussian(k * scale, l * scale, 3.3f * scale);
rx = gauss * haarX(k * scale + y, l * scale + x, 2 * scale);
ry = gauss * haarY(k * scale + y, l * scale + x, 2 * scale);
dx += rx;
dy += ry;
mdx += COpenSURF.fabs(rx);
mdy += COpenSURF.fabs(ry);
}
}
// add the values to the descriptor vector
desc[count++] = dx;
desc[count++] = dy;
desc[count++] = mdx;
desc[count++] = mdy;
// store the current length^2 of the vector
len += dx * dx + dy * dy + mdx * mdx + mdy * mdy;
}
}
// convert to unit vector
len = (float)Math.Sqrt(len);
for (int i = 0; i < 64; i++)
{
desc[i] /= len;
}
}
CDVMatrix hessian_3D(int octv, int intvl, int r, int c)
{
CDVMatrix vret = new CDVMatrix();
double v, dxx, dyy, dss, dxy, dxs, dys;
int step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, octv));
v = getValLowe(octv, intvl, r, c);
dxx = (getValLowe(octv, intvl, r, c + step) +
getValLowe(octv, intvl, r, c - step) - 2 * v);
dyy = (getValLowe(octv, intvl, r + step, c) +
getValLowe(octv, intvl, r - step, c) - 2 * v);
dss = (getValLowe(octv, intvl + 1, r, c) +
getValLowe(octv, intvl - 1, r, c) - 2 * v);
dxy = (getValLowe(octv, intvl, r + step, c + step) -
getValLowe(octv, intvl, r + step, c - step) -
getValLowe(octv, intvl, r - step, c + step) +
getValLowe(octv, intvl, r - step, c - step)) / 4.0;
dxs = (getValLowe(octv, intvl + 1, r, c + step) -
getValLowe(octv, intvl + 1, r, c - step) -
getValLowe(octv, intvl - 1, r, c + step) +
getValLowe(octv, intvl - 1, r, c - step)) / 4.0;
dys = (getValLowe(octv, intvl + 1, r + step, c) -
getValLowe(octv, intvl + 1, r - step, c) -
getValLowe(octv, intvl - 1, r + step, c) +
getValLowe(octv, intvl - 1, r - step, c)) / 4.0;
/***
* cvmSet( H, 0, 0, dxx );
* cvmSet( H, 0, 1, dxy );
* cvmSet( H, 0, 2, dxs );
*
* cvmSet( H, 1, 0, dxy );
* cvmSet( H, 1, 1, dyy );
* cvmSet( H, 1, 2, dys );
*
* cvmSet( H, 2, 0, dxs );
* cvmSet( H, 2, 1, dys );
* cvmSet( H, 2, 2, dss );
***/
vret.M11 = dxx;
vret.M12 = dxy;
vret.M13 = dxs;
vret.M21 = dxy;
vret.M22 = dyy;
vret.M23 = dys;
vret.M31 = dxs;
vret.M32 = dys;
vret.M33 = dss;
return(vret);
}
void deriv_3D(int octv, int intvl, int r, int c, out double dx, out double dy, out double ds)
{
dx = dy = ds = 0;
int step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, octv));
dx = (getValLowe(octv, intvl, r, c + step) -
getValLowe(octv, intvl, r, c - step)) / 2.0;
dy = (getValLowe(octv, intvl, r + step, c) -
getValLowe(octv, intvl, r - step, c)) / 2.0;
ds = (getValLowe(octv, intvl + 1, r, c) -
getValLowe(octv, intvl - 1, r, c)) / 2.0;
}
float getValLowe(int o, int i, int r, int c)
{
int index = (o * intervals + i) * (i_width * i_height) + (r * i_width + c);
if (m_det == null)
{
return(0);
}
if (index < 0 || index >= m_det.Length)
{
return(0);
}
return(COpenSURF.fabs(m_det[index]));
}
void getIpoint(int o, int i, int c, int r)
{
//! Interpolate feature to sub pixel accuracy
bool converged = false;
float[] x = new float[3];
for (int steps = 0; steps <= interp_steps; ++steps)
{
// perform a step of the interpolation
stepInterp(o, i, c, r, x);
// check stopping conditions
if (COpenSURF.fabs(x[0]) < 0.5 && COpenSURF.fabs(x[1]) < 0.5 && COpenSURF.fabs(x[2]) < 0.5)
{
converged = true;
break;
}
// find coords of different sample point
c += COpenSURF.cvRound(x[0]);
r += COpenSURF.cvRound(x[1]);
i += COpenSURF.cvRound(x[2]);
// check all param are within bounds
if (i < 1 || i >= intervals - 1 || c < 1 || r < 1 || c > i_width - 1 || r > i_height - 1)
{
return;
}
}
// if interpolation has not converged on a result
if (!converged)
{
return;
}
// create Ipoint and push onto Ipoints vector
Ipoint ipt = new Ipoint();
ipt.x = (float)(c + x[0]);
ipt.y = (float)(r + x[1]);
ipt.scale = (1.2f / 9.0f) * (3 * (COpenSURF.pow(2.0f, o + 1) * (i + x[2] + 1) + 1));
ipt.laplacian = (int)getLaplacian(o, i, c, r);
if (ipts == null)
{
ipts = new List <Ipoint>();
}
ipts.Add(ipt);
}
void stepInterp(int o, int i, int c, int r, float[] x)
{
//! Perform a step of interpolation (fitting 3D quadratic)
float v, dx, dy, ds, dxx, dyy, dss, dxy, dxs, dys, det;
int step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, o));
// value of current pixel
v = getVal(o, i, c, r);
// first order derivs in 3D
dx = (getVal(o, i, c + step, r) - getVal(o, i, c - step, r)) / 2.0f;
dy = (getVal(o, i, c, r + step) - getVal(o, i, c, r - step)) / 2.0f;
ds = (getVal(o, i + 1, c, r) - getVal(o, i - 1, c, r)) / 2.0f;
// second order derivs in 3D
dxx = (getVal(o, i, c + step, r) + getVal(o, i, c - step, r) - 2 * v);
dyy = (getVal(o, i, c, r + step) + getVal(o, i, c, r - step) - 2 * v);
dss = (getVal(o, i + 1, c, r) + getVal(o, i - 1, c, r) - 2 * v);
dxy = (getVal(o, i, c + step, r + step) - getVal(o, i, c - step, r + step) -
getVal(o, i, c + step, r - step) + getVal(o, i, c - step, r - step)) / 4.0f;
dxs = (getVal(o, i + 1, c + step, r) - getVal(o, i + 1, c - step, r) -
getVal(o, i - 1, c + step, r) + getVal(o, i - 1, c - step, r)) / 4.0f;
dys = (getVal(o, i + 1, c, r + step) - getVal(o, i + 1, c, r - step) -
getVal(o, i - 1, c, r + step) + getVal(o, i - 1, c, r - step)) / 4.0f;
// calculate determinant of:
// | dxx dxy dxs |
// | dxy dyy dys |
// | dxs dys dss |
det = dxx * (dyy * dss - dys * dys) - dxy * (dxy * dss - dxs * dys) + dxs * (dxy * dys - dxs * dyy);
// calculate resulting vector after matrix mult:
// | dxx dxy dxs |-1 | dx |
// | dxy dyy dys | X | dy |
// | dxs dys dss | | ds |
x[0] = -1.0f / det * (dx * (dyy * dss - dys * dys) + dy * (dxs * dys - dss * dxy) + ds * (dxy * dys - dyy * dxs));
x[1] = -1.0f / det * (dx * (dys * dxs - dss * dxy) + dy * (dxx * dss - dxs * dxs) + ds * (dxs * dxy - dys * dxx));
x[2] = -1.0f / det * (dx * (dxy * dys - dxs * dyy) + dy * (dxy * dxs - dxx * dys) + ds * (dxx * dyy - dxy * dxy));
}
public void getIpoints()
{
//! Find the image features and write into vector of features
int extremum_count = 0;
// Clear the vector of exisiting ipts
ipts.Clear();
// Calculate approximated determinant of hessian values
// = Compute value for each position in the scale-space image.
buildDet();
for (int o = 0; o < octaves; o++)
{
// for each octave double the sampling step of the previous
int step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, o));
// determine border width for the largest filter for each ocave
int border = (3 * COpenSURF.cvRound(COpenSURF.pow(2.0f, o + 1) * (intervals) + 1) + 1) / 2;
// check for maxima across the scale space
for (int i = 1; i < intervals - 1; ++i)
{
for (int r = border; r < i_height - border; r += step)
{
for (int c = border; c < i_width - border; c += step)
{
if (isExtremum(o, i, c, r) != 0)
{
extremum_count += 1;
interp_extremum(o, i, r, c);
}
}
}
}
}
}
void getOrientation()
{
Ipoint ipt = ipts[index];
float gauss = 0;
float scale = ipt.scale;
int s = COpenSURF.cvRound(scale);
int r = COpenSURF.cvRound(ipt.y);
int c = COpenSURF.cvRound(ipt.x);
List <float> resX = new List <float>();
List <float> resY = new List <float>();
List <float> Ang = new List <float>();
// calculate haar responses for points within radius of 6*scale
for (int i = -6 * s; i <= 6 * s; i += s)
{
for (int j = -6 * s; j <= 6 * s; j += s)
{
if (i * i + j * j < 36 * s * s)
{
gauss = COpenSURF.gaussian(i, j, 2.5f * s);
float _resx = gauss * haarX(r + j, c + i, 4 * s);
float _resy = gauss * haarY(r + j, c + i, 4 * s);
resX.Add(_resx);
resY.Add(_resy);
Ang.Add(COpenSURF.getAngle(_resx, _resy));
}
}
}
// calculate the dominant direction
float sumX, sumY;
float max = 0, old_max = 0, orientation = 0, old_orientation = 0;
float ang1, ang2, ang;
// loop slides pi/3 window around feature point
for (ang1 = 0; ang1 < 2 * pi; ang1 += 0.2f)
{
ang2 = (ang1 + pi / 3.0f > 2 * pi ? ang1 - 5.0f * pi / 3.0f : ang1 + pi / 3.0f);
sumX = sumY = 0;
for (int k = 0; k < Ang.Count; k++)
{
// get angle from the x-axis of the sample point
ang = Ang[k];
// determine whether the point is within the window
if (ang1 < ang2 && ang1 < ang && ang < ang2)
{
sumX += resX[k];
sumY += resY[k];
}
else if (ang2 < ang1 &&
((ang > 0 && ang < ang2) || (ang > ang1 && ang < 2 * pi)))
{
sumX += resX[k];
sumY += resY[k];
}
}
// if the vector produced from this window is longer than all
// previous vectors then this forms the new dominant direction
if (sumX * sumX + sumY * sumY > max)
{
// store second largest orientation
old_max = max;
old_orientation = orientation;
// store largest orientation
max = sumX * sumX + sumY * sumY;
orientation = COpenSURF.getAngle(sumX, sumY);
}
} // for(ang1 = 0; ang1 < 2*pi; ang1+=0.2f)
// check whether there are two dominant orientations based on 0.8 threshold
if (old_max >= 0.8 * max)
{
// assign second largest orientation and push copy onto vector
ipt.orientation = old_orientation;
ipts.Add(ipt);
// Reset ipt to point to correct Ipoint in the vector
ipt = ipts[index];
}
// assign orientation of the dominant response vector
ipt.orientation = orientation;
}
//! Calculate Haar wavelet responses in y direction
float haarY(int row, int column, int s)
{
return(COpenSURF.Area(img, column - s / 2, row, s, s / 2)
- 1 * COpenSURF.Area(img, column - s / 2, row - s / 2, s, s / 2));
}
void getDescriptor()
{
int y, x, count = 0;
float dx, dy, mdx, mdy, co, si;
float[] desc;
int scale;
int sample_x;
int sample_y;
float gauss, rx, ry, rrx, rry, len = 0;
Ipoint ipt = ipts[index];
scale = (int)ipt.scale;
x = COpenSURF.cvRound(ipt.x);
y = COpenSURF.cvRound(ipt.y);
co = (float)Math.Cos(ipt.orientation);
si = (float)Math.Sin(ipt.orientation);
desc = ipt.descriptor;
// Calculate descriptor for this interest point
for (int i = -10; i < 10; i += 5)
{
for (int j = -10; j < 10; j += 5)
{
dx = dy = mdx = mdy = 0;
for (int k = i; k < i + 5; ++k)
{
for (int l = j; l < j + 5; ++l)
{
// Get coords of sample point on the rotated axis
sample_x = COpenSURF.cvRound(x + (-l * scale * si + k * scale * co));
sample_y = COpenSURF.cvRound(y + (l * scale * co + k * scale * si));
// Get the gaussian weighted x and y responses
gauss = COpenSURF.gaussian(k * scale, l * scale, 3.3f * scale);
rx = gauss * haarX(sample_y, sample_x, 2 * scale);
ry = gauss * haarY(sample_y, sample_x, 2 * scale);
// Get the gaussian weighted x and y responses on rotated axis
rrx = -rx * si + ry * co;
rry = rx * co + ry * si;
dx += rrx;
dy += rry;
mdx += COpenSURF.fabs(rrx);
mdy += COpenSURF.fabs(rry);
}
}
// add the values to the descriptor vector
desc[count++] = dx;
desc[count++] = dy;
desc[count++] = mdx;
desc[count++] = mdy;
// store the current length^2 of the vector
len += dx * dx + dy * dy + mdx * mdx + mdy * mdy;
} // for (int j = -10; j < 10; j+=5)
} // for (int i = -10; i < 10; i+=5)
// convert to unit vector
len = (float)Math.Sqrt(len);
for (int i = 0; i < 64; i++)
{
desc[i] /= len;
}
}
float getVal(int o, int i, int c, int r)
{
//! Return the value of the approximated determinant of hessian
return(COpenSURF.fabs(m_det[(o * intervals + i) * (i_width * i_height) + (r * i_width + c)]));
}
void buildDet()
{
// Compute value for each position in the scale-space image.
int lobe, border, step;
float Dxx = 0, Dyy = 0, Dxy = 0, scale;
int ixdet = 0;
for (int o = 0; o < octaves; o++)
{
// calculate filter border for this octave
border = (3 * COpenSURF.cvRound(COpenSURF.pow(2.0f, o + 1) * (intervals) + 1) + 1) / 2;
step = init_sample * COpenSURF.cvRound(COpenSURF.pow(2.0f, o));
for (int i = 0; i < intervals; i++)
{
// calculate lobe length (filter side length/3)
lobe = COpenSURF.cvRound(COpenSURF.pow(2.0f, o + 1) * (i + 1) + 1);
scale = 1.0f / COpenSURF.pow((float)(3 * lobe), 2);
for (int r = border; r < i_height - border; r += step)
{
for (int c = border; c < i_width - border; c += step)
{
/***
* Dyy = COpenSURF.Area(img, c - (lobe - 1), r - ((3 * lobe - 1) / 2), (2 * lobe - 1), lobe)
* - 2 * COpenSURF.Area(img, c - (lobe - 1), r - ((lobe - 1) / 2), (2 * lobe - 1), lobe)
+ COpenSURF.Area(img, c - (lobe - 1), r + ((lobe + 1) / 2), (2 * lobe - 1), lobe);
+
+
+ Dxx = COpenSURF.Area(img, c - ((3 * lobe - 1) / 2), r - (lobe - 1), lobe, (2 * lobe - 1))
+ - 2 * COpenSURF.Area(img, c - ((lobe - 1) / 2), r - (lobe - 1), lobe, (2 * lobe - 1))
+ COpenSURF.Area(img, c + ((lobe + 1) / 2), r - (lobe - 1), lobe, (2 * lobe - 1));
+
+ Dxy = COpenSURF.Area(img, c - lobe, r - lobe, lobe, lobe)
+ COpenSURF.Area(img, c + 1, r + 1, lobe, lobe)
+ - COpenSURF.Area(img, c - lobe, r + 1, lobe, lobe)
+ - COpenSURF.Area(img, c + 1, r - lobe, lobe, lobe);
***/
{
float dyy0 = COpenSURF.Area(img, c - (lobe - 1), r - ((3 * lobe - 1) / 2), (2 * lobe - 1), lobe);
float dyy1 = COpenSURF.Area(img, c - (lobe - 1), r - ((lobe - 1) / 2), (2 * lobe - 1), lobe);
float dyy2 = COpenSURF.Area(img, c - (lobe - 1), r + ((lobe + 1) / 2), (2 * lobe - 1), lobe);
Dyy = dyy0 - 2 * dyy1 + dyy2;
}
{
float dxx0 = COpenSURF.Area(img, c - ((3 * lobe - 1) / 2), r - (lobe - 1), lobe, (2 * lobe - 1));
float dxx1 = COpenSURF.Area(img, c - ((lobe - 1) / 2), r - (lobe - 1), lobe, (2 * lobe - 1));
float dxx2 = COpenSURF.Area(img, c + ((lobe + 1) / 2), r - (lobe - 1), lobe, (2 * lobe - 1));
Dxx = dxx0 - 2 * dxx1 + dxx2;
}
{
float dxy0 = COpenSURF.Area(img, c - lobe, r - lobe, lobe, lobe);
float dxy1 = COpenSURF.Area(img, c + 1, r + 1, lobe, lobe);
float dxy2 = COpenSURF.Area(img, c - lobe, r + 1, lobe, lobe);
float dxy3 = COpenSURF.Area(img, c + 1, r - lobe, lobe, lobe);
Dxy = dxy0 + dxy1 - dxy2 - dxy3;
}
// Normalise the filter responses with respect to their size
Dxx *= scale;
Dyy *= scale;
Dxy *= scale;
// Get the sign of the laplacian
int lap_sign = (Dxx + Dyy >= 0 ? 1 : -1);
// Get the determinant of hessian response
float res = (Dxx * Dyy - 0.9f * 0.9f * Dxy * Dxy);
res = (res < thres ? 0 : lap_sign * res);
// calculate approximated determinant of hessian value
m_det[(o * intervals + i) * (i_width * i_height) + (r * i_width + c)] = res;
ixdet += 1;
if (res > 0)
{
}
}
}
}
}
}
