Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method.
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#include "cudaoptflow.hpp"
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| static Ptr< OpticalFlowDual_TVL1 > | create (double tau=0.25, double lambda=0.15, double theta=0.3, int nscales=5, int warps=5, double epsilon=0.01, int iterations=300, double scaleStep=0.8, double gamma=0.0, bool useInitialFlow=false) |
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| template<typename _Tp > |
| static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| | Loads algorithm from the file. More...
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| template<typename _Tp > |
| static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| | Loads algorithm from a String. More...
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| template<typename _Tp > |
| static Ptr< _Tp > | read (const FileNode &fn) |
| | Reads algorithm from the file node. More...
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Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method.
- See also
- C. Zach, T. Pock and H. Bischof, "A Duality Based Approach for Realtime TV-L1 Optical Flow".
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Javier Sanchez, Enric Meinhardt-Llopis and Gabriele Facciolo. "TV-L1 Optical Flow Estimation".
◆ create()
| static Ptr<OpticalFlowDual_TVL1> cv::cuda::OpticalFlowDual_TVL1::create |
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double |
tau = 0.25, |
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double |
lambda = 0.15, |
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double |
theta = 0.3, |
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int |
nscales = 5, |
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int |
warps = 5, |
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double |
epsilon = 0.01, |
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int |
iterations = 300, |
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double |
scaleStep = 0.8, |
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double |
gamma = 0.0, |
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bool |
useInitialFlow = false |
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static |
◆ getEpsilon()
| virtual double cv::cuda::OpticalFlowDual_TVL1::getEpsilon |
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const |
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pure virtual |
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.
◆ getGamma()
| virtual double cv::cuda::OpticalFlowDual_TVL1::getGamma |
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const |
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pure virtual |
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.
◆ getLambda()
| virtual double cv::cuda::OpticalFlowDual_TVL1::getLambda |
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const |
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pure virtual |
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.
◆ getNumIterations()
| virtual int cv::cuda::OpticalFlowDual_TVL1::getNumIterations |
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const |
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pure virtual |
Stopping criterion iterations number used in the numerical scheme.
◆ getNumScales()
| virtual int cv::cuda::OpticalFlowDual_TVL1::getNumScales |
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const |
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pure virtual |
Number of scales used to create the pyramid of images.
◆ getNumWarps()
| virtual int cv::cuda::OpticalFlowDual_TVL1::getNumWarps |
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const |
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pure virtual |
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.
◆ getScaleStep()
| virtual double cv::cuda::OpticalFlowDual_TVL1::getScaleStep |
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const |
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pure virtual |
◆ getTau()
| virtual double cv::cuda::OpticalFlowDual_TVL1::getTau |
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const |
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pure virtual |
Time step of the numerical scheme.
◆ getTheta()
| virtual double cv::cuda::OpticalFlowDual_TVL1::getTheta |
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const |
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pure virtual |
parameter used for motion estimation. It adds a variable allowing for illumination variations Set this parameter to 1. if you have varying illumination. See: Chambolle et al, A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging Journal of Mathematical imaging and vision, may 2011 Vol 40 issue 1, pp 120-145
◆ getUseInitialFlow()
| virtual bool cv::cuda::OpticalFlowDual_TVL1::getUseInitialFlow |
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const |
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pure virtual |
◆ setEpsilon()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setEpsilon |
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double |
epsilon | ) |
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pure virtual |
◆ setGamma()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setGamma |
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double |
gamma | ) |
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pure virtual |
◆ setLambda()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setLambda |
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double |
lambda | ) |
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pure virtual |
◆ setNumIterations()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setNumIterations |
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int |
iterations | ) |
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pure virtual |
◆ setNumScales()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setNumScales |
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int |
nscales | ) |
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pure virtual |
◆ setNumWarps()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setNumWarps |
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int |
warps | ) |
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pure virtual |
◆ setScaleStep()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setScaleStep |
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double |
scaleStep | ) |
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pure virtual |
◆ setTau()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setTau |
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double |
tau | ) |
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pure virtual |
◆ setTheta()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setTheta |
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double |
theta | ) |
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pure virtual |
◆ setUseInitialFlow()
| virtual void cv::cuda::OpticalFlowDual_TVL1::setUseInitialFlow |
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bool |
useInitialFlow | ) |
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pure virtual |
The documentation for this class was generated from the following file:
Public Member Functions inherited from cv::cuda::DenseOpticalFlow
1.8.13