The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.
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
Error creating thumbnail: Unable to save thumbnail to destination
First Input Image (8-bit)
Error creating thumbnail: Unable to save thumbnail to destination
Second Input Image (8-bit)
Error creating thumbnail: Unable to save thumbnail to destination
Optical Flow Magnitude
Error creating thumbnail: Unable to save thumbnail to destination
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);
|