"Dual TV L1" Optical Flow Algorithm. More...

#include <opencv2/optflow.hpp>

Collaboration diagram for cv::optflow::DualTVL1OpticalFlow:

Public Member Functions
virtual double	getEpsilon () const =0
	Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time.

virtual double	getGamma () const =0
	coefficient for additional illumination variation term

virtual int	getInnerIterations () const =0
	Inner iterations (between outlier filtering) used in the numerical scheme.

virtual double	getLambda () const =0
	Weight parameter for the data term, attachment parameter.

virtual int	getMedianFiltering () const =0
	Median filter kernel size (1 = no filter) (3 or 5)

virtual int	getOuterIterations () const =0
	Outer iterations (number of inner loops) used in the numerical scheme.

virtual int	getScalesNumber () const =0
	Number of scales used to create the pyramid of images.

virtual double	getScaleStep () const =0
	Step between scales (<1)

virtual double	getTau () const =0
	Time step of the numerical scheme.

virtual double	getTheta () const =0
	Weight parameter for (u - v)^2, tightness parameter.

virtual bool	getUseInitialFlow () const =0
	Use initial flow.

virtual int	getWarpingsNumber () const =0
	Number of warpings per scale.

virtual void	setEpsilon (double val)=0
	Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time.

virtual void	setGamma (double val)=0
	coefficient for additional illumination variation term

virtual void	setInnerIterations (int val)=0
	Inner iterations (between outlier filtering) used in the numerical scheme.

virtual void	setLambda (double val)=0
	Weight parameter for the data term, attachment parameter.

virtual void	setMedianFiltering (int val)=0
	Median filter kernel size (1 = no filter) (3 or 5)

virtual void	setOuterIterations (int val)=0
	Outer iterations (number of inner loops) used in the numerical scheme.

virtual void	setScalesNumber (int val)=0
	Number of scales used to create the pyramid of images.

virtual void	setScaleStep (double val)=0
	Step between scales (<1)

virtual void	setTau (double val)=0
	Time step of the numerical scheme.

virtual void	setTheta (double val)=0
	Weight parameter for (u - v)^2, tightness parameter.

virtual void	setUseInitialFlow (bool val)=0
	Use initial flow.

virtual void	setWarpingsNumber (int val)=0
	Number of warpings per scale.

Public Member Functions inherited from cv::DenseOpticalFlow
virtual void	calc (InputArray I0, InputArray I1, InputOutputArray flow)=0
	Calculates an optical flow.

virtual void	collectGarbage ()=0
	Releases all inner buffers.

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state.

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.

virtual void	save (const String &filename) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.

void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< DualTVL1OpticalFlow >	create (double tau=0.25, double lambda=0.15, double theta=0.3, int nscales=5, int warps=5, double epsilon=0.01, int innnerIterations=30, int outerIterations=10, double scaleStep=0.8, double gamma=0.0, int medianFiltering=5, bool useInitialFlow=false)
	Creates instance of cv::DualTVL1OpticalFlow.

Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

"Dual TV L1" Optical Flow Algorithm.

The class implements the "Dual TV L1" optical flow algorithm described in [314] and [234] . Here are important members of the class that control the algorithm, which you can set after constructing the class instance:

member double tau Time step of the numerical scheme.
member double 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.
member double 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.
member int nscales Number of scales used to create the pyramid of images.
member int 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.
member double 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.
member int iterations Stopping criterion iterations number used in the numerical scheme.

C. Zach, T. Pock and H. Bischof, "A Duality Based Approach for Realtime TV-L1 Optical Flow". Javier Sanchez, Enric Meinhardt-Llopis and Gabriele Facciolo. "TV-L1 Optical Flow Estimation".

Member Function Documentation

◆ create()

static Ptr< DualTVL1OpticalFlow > cv::optflow::DualTVL1OpticalFlow::create	(	double	tau = 0.25,
		double	lambda = 0.15,
		double	theta = 0.3,
		int	nscales = 5,
		int	warps = 5,
		double	epsilon = 0.01,
		int	innnerIterations = 30,
		int	outerIterations = 10,
		double	scaleStep = 0.8,
		double	gamma = 0.0,
		int	medianFiltering = 5,
		bool	useInitialFlow = false )

static

Python:
	cv.optflow.DualTVL1OpticalFlow.create(	[, tau[, lambda_[, theta[, nscales[, warps[, epsilon[, innnerIterations[, outerIterations[, scaleStep[, gamma[, medianFiltering[, useInitialFlow]]]]]]]]]]]]	) ->	retval
	cv.optflow.DualTVL1OpticalFlow_create(	[, tau[, lambda_[, theta[, nscales[, warps[, epsilon[, innnerIterations[, outerIterations[, scaleStep[, gamma[, medianFiltering[, useInitialFlow]]]]]]]]]]]]	) ->	retval

Creates instance of cv::DualTVL1OpticalFlow.

◆ getEpsilon()

virtual double cv::optflow::DualTVL1OpticalFlow::getEpsilon ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getEpsilon(		) ->	retval

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time.

See also: setEpsilon

◆ getGamma()

virtual double cv::optflow::DualTVL1OpticalFlow::getGamma ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getGamma(		) ->	retval

coefficient for additional illumination variation term

See also: setGamma

◆ getInnerIterations()

virtual int cv::optflow::DualTVL1OpticalFlow::getInnerIterations ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getInnerIterations(		) ->	retval

Inner iterations (between outlier filtering) used in the numerical scheme.

See also: setInnerIterations

◆ getLambda()

virtual double cv::optflow::DualTVL1OpticalFlow::getLambda ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getLambda(		) ->	retval

Weight parameter for the data term, attachment parameter.

See also: setLambda

◆ getMedianFiltering()

virtual int cv::optflow::DualTVL1OpticalFlow::getMedianFiltering ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getMedianFiltering(		) ->	retval

Median filter kernel size (1 = no filter) (3 or 5)

See also: setMedianFiltering

◆ getOuterIterations()

virtual int cv::optflow::DualTVL1OpticalFlow::getOuterIterations ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getOuterIterations(		) ->	retval

Outer iterations (number of inner loops) used in the numerical scheme.

See also: setOuterIterations

◆ getScalesNumber()

virtual int cv::optflow::DualTVL1OpticalFlow::getScalesNumber ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getScalesNumber(		) ->	retval

Number of scales used to create the pyramid of images.

See also: setScalesNumber

◆ getScaleStep()

virtual double cv::optflow::DualTVL1OpticalFlow::getScaleStep ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getScaleStep(		) ->	retval

Step between scales (<1)

See also: setScaleStep

◆ getTau()

virtual double cv::optflow::DualTVL1OpticalFlow::getTau ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getTau(		) ->	retval

Time step of the numerical scheme.

See also: setTau

◆ getTheta()

virtual double cv::optflow::DualTVL1OpticalFlow::getTheta ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getTheta(		) ->	retval

Weight parameter for (u - v)^2, tightness parameter.

See also: setTheta

◆ getUseInitialFlow()

virtual bool cv::optflow::DualTVL1OpticalFlow::getUseInitialFlow ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getUseInitialFlow(		) ->	retval

Use initial flow.

See also: setUseInitialFlow

◆ getWarpingsNumber()

virtual int cv::optflow::DualTVL1OpticalFlow::getWarpingsNumber ( ) const

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.getWarpingsNumber(		) ->	retval

Number of warpings per scale.

See also: setWarpingsNumber

◆ setEpsilon()

virtual void cv::optflow::DualTVL1OpticalFlow::setEpsilon ( double val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setEpsilon(	val	) ->	None

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time.

See also: getEpsilon

◆ setGamma()

virtual void cv::optflow::DualTVL1OpticalFlow::setGamma ( double val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setGamma(	val	) ->	None

coefficient for additional illumination variation term

See also: getGamma

◆ setInnerIterations()

virtual void cv::optflow::DualTVL1OpticalFlow::setInnerIterations ( int val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setInnerIterations(	val	) ->	None

Inner iterations (between outlier filtering) used in the numerical scheme.

See also: getInnerIterations

◆ setLambda()

virtual void cv::optflow::DualTVL1OpticalFlow::setLambda ( double val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setLambda(	val	) ->	None

Weight parameter for the data term, attachment parameter.

See also: getLambda

◆ setMedianFiltering()

virtual void cv::optflow::DualTVL1OpticalFlow::setMedianFiltering ( int val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setMedianFiltering(	val	) ->	None

Median filter kernel size (1 = no filter) (3 or 5)

See also: getMedianFiltering

◆ setOuterIterations()

virtual void cv::optflow::DualTVL1OpticalFlow::setOuterIterations ( int val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setOuterIterations(	val	) ->	None

Outer iterations (number of inner loops) used in the numerical scheme.

See also: getOuterIterations

◆ setScalesNumber()

virtual void cv::optflow::DualTVL1OpticalFlow::setScalesNumber ( int val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setScalesNumber(	val	) ->	None

Number of scales used to create the pyramid of images.

See also: getScalesNumber

◆ setScaleStep()

virtual void cv::optflow::DualTVL1OpticalFlow::setScaleStep ( double val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setScaleStep(	val	) ->	None

Step between scales (<1)

See also: getScaleStep

◆ setTau()

virtual void cv::optflow::DualTVL1OpticalFlow::setTau ( double val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setTau(	val	) ->	None

Time step of the numerical scheme.

See also: getTau

◆ setTheta()

virtual void cv::optflow::DualTVL1OpticalFlow::setTheta ( double val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setTheta(	val	) ->	None

Weight parameter for (u - v)^2, tightness parameter.

See also: getTheta

◆ setUseInitialFlow()

virtual void cv::optflow::DualTVL1OpticalFlow::setUseInitialFlow ( bool val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setUseInitialFlow(	val	) ->	None

Use initial flow.

See also: getUseInitialFlow

◆ setWarpingsNumber()

virtual void cv::optflow::DualTVL1OpticalFlow::setWarpingsNumber ( int val )

pure virtual

Python:
	cv.optflow.DualTVL1OpticalFlow.setWarpingsNumber(	val	) ->	None

Number of warpings per scale.

See also: getWarpingsNumber

The documentation for this class was generated from the following file:

opencv2/optflow.hpp

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ create()

◆ getEpsilon()

◆ getGamma()

◆ getInnerIterations()

◆ getLambda()

◆ getMedianFiltering()

◆ getOuterIterations()

◆ getScalesNumber()

◆ getScaleStep()

◆ getTau()

◆ getTheta()

◆ getUseInitialFlow()

◆ getWarpingsNumber()

◆ setEpsilon()

◆ setGamma()

◆ setInnerIterations()

◆ setLambda()

◆ setMedianFiltering()

◆ setOuterIterations()

◆ setScalesNumber()

◆ setScaleStep()

◆ setTau()

◆ setTheta()

◆ setUseInitialFlow()

◆ setWarpingsNumber()