From CUVI Wiki


CuviStatus opticalFlowHS(const CuviImage& previous,
                         const CuviImage& next,
                         Cuvi32f* flowX,
                         Cuvi32f* flowY,
                         const bool usePrevious,
                         const Cuvi32f lambda = 1.0f ,
                         const Cuvi32s iterations = 1,
                         const CuviStream& stream = CuviStream());


Name Type Description
previous const CuviImage& The first image whose features are to be tracked
next const CuviImage& Second image, in which to look for features of first image
flowX Cuvi32f* Horizontal velocity vector
flowY Cuvi32f* Vertical velocity vector
usePrevious bool use previous (input) velocity field
lambda const Cuvi32f Lagrangian multiplier
iterations const Cuvi32s Maximum number of iterations
stream CuviStream* GPU stream ID for execution

Image Type Support

Input Output
8uC1 32fC1


Flow hs.jpg


//Create two 8-bit Grays-scale CuviImage
CuviImage gimg1 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);
CuviImage gimg2 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);

//Create output memory
Cuvi32f* u = new Cuvi32f[gimg.width() * gimg.height()];
Cuvi32f* v = new Cuvi32f[gimg.width() * gimg.height()];

//Calculates flow of each image pixel in two frames using Horn–Schunck method