Function
CuviStatus opticalFlowHS(CuviImage* previousImage,
CuviImage* nextImage,
Cuvi32f* velocityX,
Cuvi32f* velocityY,
Cuvi32s usePrevious = 0,
Cuvi32f lambda = 1.0f ,
Cuvi32s iterations = 1,
CuviStream* stream = NULL);
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Parameters
| Name
|
Type
|
Description
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| previousImage
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CuviImage*
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The first image whose features are to be tracked
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| nextImage
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CuviImage*
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Second image, in which to look for features of first image
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| velocityX
|
Cuvi32f*
|
Horizontal velocity vector
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| velocityY
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Cuvi32f*
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Vertical velocity vector
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| usePrevious
|
Cuvi32s
|
use previous (input) velocity field
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| lambda
|
Cuvi32f
|
Lagrangian multiplier
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| iterations
|
Cuvi32s
|
Maximum number of iterations
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| stream
|
CuviStream*
|
GPU stream ID for execution
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Image Type Support
Sample
Error creating thumbnail: Unable to save thumbnail to destination
Example
//Image size
CuviSize size = cuviSize(img1->width,img1->height);
//Create two 8-bit Grays-scale CuviImage
CuviImage* gimg1 = new CuviImage(size,img1->depth,img1->nChannels);
CuviImage* gimg2 = new CuviImage(size,img1->depth,img1->nChannels);
//Populate the GPU Images
gimg1->upload(img1->imageData,img1->widthStep);
gimg2->upload(img2->imageData,img2->widthStep);
//Create output memory
Cuvi32f *u, *v;
u=(Cuvi32f*)malloc(img0->width*img0->height*sizeof(Cuvi32f));
v=(Cuvi32f*)malloc(img0->width*img0->height*sizeof(Cuvi32f));
//Calculates flow of each image pixel in two frames using Horn–Schunck method
cuvi::ComputerVision::opticalFlowHS(gimg1,gimg2,u,v);
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