Dual TV-L1 optical flow implementation

This commit is contained in:
Vladislav Vinogradov
2012-10-19 12:54:06 +04:00
parent 772586801b
commit 0ad849d2fd
6 changed files with 1396 additions and 0 deletions

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@@ -352,6 +352,105 @@ CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
double upscale_sigma_color,
double speed_up_thr);
// Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method
//
// see reference:
// [1] C. Zach, T. Pock and H. Bischof, "A Duality Based Approach for Realtime TV-L1 Optical Flow".
// [2] Javier Sanchez, Enric Meinhardt-Llopis and Gabriele Facciolo. "TV-L1 Optical Flow Estimation".
class CV_EXPORTS OpticalFlowDual_TVL1
{
public:
OpticalFlowDual_TVL1();
void operator ()(InputArray I0, InputArray I1, InputOutputArray flow);
void collectGarbage();
/**
* Time step of the numerical scheme.
*/
double tau;
/**
* 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.
*/
double lambda;
/**
* 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.
*/
double theta;
/**
* Number of scales used to create the pyramid of images.
*/
int nscales;
/**
* 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.
*/
int warps;
/**
* 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.
*/
double epsilon;
/**
* Stopping criterion iterations number used in the numerical scheme.
*/
int iterations;
bool useInitialFlow;
private:
void procOneScale(const Mat_<float>& I0, const Mat_<float>& I1, Mat_<float>& u1, Mat_<float>& u2);
std::vector<Mat_<float> > I0s;
std::vector<Mat_<float> > I1s;
std::vector<Mat_<float> > u1s;
std::vector<Mat_<float> > u2s;
Mat_<float> I1x_buf;
Mat_<float> I1y_buf;
Mat_<float> flowMap1_buf;
Mat_<float> flowMap2_buf;
Mat_<float> I1w_buf;
Mat_<float> I1wx_buf;
Mat_<float> I1wy_buf;
Mat_<float> grad_buf;
Mat_<float> rho_c_buf;
Mat_<float> v1_buf;
Mat_<float> v2_buf;
Mat_<float> p11_buf;
Mat_<float> p12_buf;
Mat_<float> p21_buf;
Mat_<float> p22_buf;
Mat_<float> div_p1_buf;
Mat_<float> div_p2_buf;
Mat_<float> u1x_buf;
Mat_<float> u1y_buf;
Mat_<float> u2x_buf;
Mat_<float> u2y_buf;
};
}
#endif