#include <gpu.hpp>
§ OpticalFlowDual_TVL1_GPU()
cv::gpu::OpticalFlowDual_TVL1_GPU::OpticalFlowDual_TVL1_GPU |
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§ collectGarbage()
void cv::gpu::OpticalFlowDual_TVL1_GPU::collectGarbage |
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§ operator()()
§ epsilon
double cv::gpu::OpticalFlowDual_TVL1_GPU::epsilon |
Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time. A small value will yield more accurate solutions at the expense of a slower convergence.
§ iterations
int cv::gpu::OpticalFlowDual_TVL1_GPU::iterations |
Stopping criterion iterations number used in the numerical scheme.
§ lambda
double cv::gpu::OpticalFlowDual_TVL1_GPU::lambda |
Weight parameter for the data term, attachment parameter. This is the most relevant parameter, which determines the smoothness of the output. The smaller this parameter is, the smoother the solutions we obtain. It depends on the range of motions of the images, so its value should be adapted to each image sequence.
§ nscales
int cv::gpu::OpticalFlowDual_TVL1_GPU::nscales |
Number of scales used to create the pyramid of images.
§ tau
double cv::gpu::OpticalFlowDual_TVL1_GPU::tau |
Time step of the numerical scheme.
§ theta
double cv::gpu::OpticalFlowDual_TVL1_GPU::theta |
Weight parameter for (u - v)^2, tightness parameter. It serves as a link between the attachment and the regularization terms. In theory, it should have a small value in order to maintain both parts in correspondence. The method is stable for a large range of values of this parameter.
§ useInitialFlow
bool cv::gpu::OpticalFlowDual_TVL1_GPU::useInitialFlow |
§ warps
int cv::gpu::OpticalFlowDual_TVL1_GPU::warps |
Number of warpings per scale. Represents the number of times that I1(x+u0) and grad( I1(x+u0) ) are computed per scale. This is a parameter that assures the stability of the method. It also affects the running time, so it is a compromise between speed and accuracy.
The documentation for this class was generated from the following file: