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

First Input Image (8-bit)	Second Input Image (8-bit)
Optical Flow Magnitude	Flow of selected points

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);