private unsafe static void goodFeaturesToTrack(Gray <float>[,] integralDxx, Gray <float>[,] integralDxy, Gray <float>[,] integralDyy,
int winSize, float minEigValue, Gray <float>[,] strengthImg)
{
minEigValue = System.Math.Max(1E-3f, minEigValue);
int normFactor = winSize * winSize * 255;
int maxCol = integralDxx.Width() - winSize;
int maxRow = integralDxx.Height() - winSize;
for (int row = 0; row < maxRow; row++)
{
for (int col = 0; col < maxCol; col++)
{
var Dxx = integralDxx.GetSum(col, row, winSize, winSize);
var Dxy = integralDxy.GetSum(col, row, winSize, winSize);
var Dyy = integralDyy.GetSum(col, row, winSize, winSize);
var eigenVal = calcMinEigenVal(Dxx, Dxy, Dyy);
eigenVal /= normFactor;
if (eigenVal > minEigValue)
{
strengthImg[winSize / 2 + row, winSize / 2 + col] = eigenVal;
}
}
}
}
private unsafe static void goodFeaturesToTrack(Gray<float>[,] integralDxx, Gray<float>[,] integralDxy, Gray<float>[,] integralDyy,
int winSize, float minEigValue, Gray<float>[,] strengthImg)
{
minEigValue = System.Math.Max(1E-3f, minEigValue);
int normFactor = winSize * winSize * 255;
int maxCol = integralDxx.Width() - winSize;
int maxRow = integralDxx.Height() - winSize;
for (int row = 0; row < maxRow; row++)
{
for (int col = 0; col < maxCol; col++)
{
var Dxx = integralDxx.GetSum(col, row, winSize, winSize);
var Dxy = integralDxy.GetSum(col, row, winSize, winSize);
var Dyy = integralDyy.GetSum(col, row, winSize, winSize);
var eigenVal = calcMinEigenVal(Dxx, Dxy, Dyy);
eigenVal /= normFactor;
if (eigenVal > minEigValue)
{
strengthImg[winSize / 2 + row, winSize / 2 + col] = eigenVal;
}
}
}
}
