/// <summary>
/// Calculate an optical flow for a sparse feature set.
/// </summary>
/// <param name="frame0">First 8-bit input image (supports both grayscale and color images).</param>
/// <param name="frame1">Second input image of the same size and the same type as <paramref name="frame0"/></param>
/// <param name="points0">
/// Vector of 2D points for which the flow needs to be found. It must be one row
/// matrix with 2 channels
/// </param>
/// <param name="points1">
/// Output vector of 2D points (with single-precision two channel floating-point coordinates)
/// containing the calculated new positions of input features in the second image.</param>
/// <param name="status">
/// Output status vector (CV_8UC1 type). Each element of the vector is set to 1 if the
/// flow for the corresponding features has been found. Otherwise, it is set to 0.
/// </param>
/// <param name="err">
/// Output vector (CV_32FC1 type) that contains the difference between patches around
/// the original and moved points or min eigen value if getMinEigenVals is checked. It can be
/// null, if not needed.
/// </param>
public void Sparse(OclImage <Gray, byte> frame0, OclImage <Gray, byte> frame1, OclMat <float> points0, out OclMat <float> points1, out OclMat <Byte> status, out OclMat <float> err)
{
points1 = new OclMat <float>();
status = new OclMat <byte>();
err = new OclMat <float>();
OclInvoke.oclPyrLKOpticalFlowSparse(_ptr, frame0, frame1, points0, points1, status, err);
}
