Function:OpticalFlowPyrLKDense

Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method.

Function

CuviStatus opticalFlowPyrLKDense(const CuviImage& previous, const CuviImage& next, Cuvi32f* flowX Cuvi32f* flowY, const CuviTrackingCriteria criteria, const CuviStream& stream = CuviStream());

Parameters

Name Type Description previous CuviImage& The first image whose features are to be tracked next CuviImage& Second image, in which to look for features of first image flowX Cuvi32f* Horizontal optical flow flowY Cuvi32f* Vertical optical flow criteria const CuviFeaturesCriteria A structure containing various parameters that affect optical flow calculation stream const CuviStream& GPU stream ID for execution

Image Type Support

Input Output 2x 8uC1 2x Cuvi32f*

Samples

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First Input Image (8-bit)

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Second Input Image (8-bit)

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Optical Flow Magnitude

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Flow of selected points

Code Example

//Create two 8-bit Grays-scale CuviImage objects CuviImage gimg1 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE); CuviImage gimg2 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE); Cuvi32f* flowX = new Cuvi32f[gimg1.width() * gimg1.height()]; Cuvi32f* flowY = new Cuvi32f[gimg1.width() * gimg1.height()]; //tracking criteria CuviTrackingCriteria tc; //Compute optical flow between first frame and second frame cuvi::computerVision::opticalFlowPyrLKDense(gimg1,gimg2,flowX,flowY,tc);