Variational optical flow refinement. More...

#include <opencv2/video/tracking.hpp>

Inheritance diagram for cv::VariationalRefinement:

Public Member Functions
virtual void	calcUV (InputArray I0, InputArray I1, InputOutputArray flow_u, InputOutputArray flow_v)=0
	calc function overload to handle separate horizontal (u) and vertical (v) flow components (to avoid extra splits/merges)

virtual float	getAlpha () const =0
	Weight of the smoothness term.

virtual float	getDelta () const =0
	Weight of the color constancy term.

virtual int	getFixedPointIterations () const =0
	Number of outer (fixed-point) iterations in the minimization procedure.

virtual float	getGamma () const =0
	Weight of the gradient constancy term.

virtual float	getOmega () const =0
	Relaxation factor in SOR.

virtual int	getSorIterations () const =0
	Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.

virtual void	setAlpha (float val)=0

virtual void	setDelta (float val)=0

virtual void	setFixedPointIterations (int val)=0

virtual void	setGamma (float val)=0

virtual void	setOmega (float val)=0

virtual void	setSorIterations (int val)=0

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

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

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Static Public Member Functions
static Ptr< VariationalRefinement >	create ()
	Creates an instance of VariationalRefinement.

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

Detailed Description

Variational optical flow refinement.

This class implements variational refinement of the input flow field, i.e. it uses input flow to initialize the minimization of the following functional: \(E(U) = \int_{\Omega} \delta \Psi(E_I) + \gamma \Psi(E_G) + \alpha \Psi(E_S) \), where \(E_I,E_G,E_S\) are color constancy, gradient constancy and smoothness terms respectively. \(\Psi(s^2)=\sqrt{s^2+\epsilon^2}\) is a robust penalizer to limit the influence of outliers. A complete formulation and a description of the minimization procedure can be found inBrox2004

Member Function Documentation

virtual void cv::VariationalRefinement::calcUV	(	InputArray	I0,
		InputArray	I1,
		InputOutputArray	flow_u,
		InputOutputArray	flow_v
	)

pure virtual

Python:
	flow_u, flow_v	=	cv.VariationalRefinement.calcUV(	I0, I1, flow_u, flow_v	)

calc function overload to handle separate horizontal (u) and vertical (v) flow components (to avoid extra splits/merges)

static Ptr<VariationalRefinement> cv::VariationalRefinement::create ( )

static

Python:
	retval	=	cv.VariationalRefinement_create(		)

Creates an instance of VariationalRefinement.

virtual float cv::VariationalRefinement::getAlpha ( ) const

pure virtual

Python:
	retval	=	cv.VariationalRefinement.getAlpha(		)

Weight of the smoothness term.

See Also: setAlpha

virtual float cv::VariationalRefinement::getDelta ( ) const

pure virtual

Python:
	retval	=	cv.VariationalRefinement.getDelta(		)

Weight of the color constancy term.

See Also: setDelta

virtual int cv::VariationalRefinement::getFixedPointIterations ( ) const

pure virtual

Python:
	retval	=	cv.VariationalRefinement.getFixedPointIterations(		)

Number of outer (fixed-point) iterations in the minimization procedure.

See Also: setFixedPointIterations

virtual float cv::VariationalRefinement::getGamma ( ) const

pure virtual

Python:
	retval	=	cv.VariationalRefinement.getGamma(		)

Weight of the gradient constancy term.

See Also: setGamma

virtual float cv::VariationalRefinement::getOmega ( ) const

pure virtual

Python:
	retval	=	cv.VariationalRefinement.getOmega(		)

Relaxation factor in SOR.

See Also: setOmega

virtual int cv::VariationalRefinement::getSorIterations ( ) const

pure virtual

Python:
	retval	=	cv.VariationalRefinement.getSorIterations(		)

Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.

See Also: setSorIterations

virtual void cv::VariationalRefinement::setAlpha ( float val )

pure virtual

Python:
	None	=	cv.VariationalRefinement.setAlpha(	val	)

Weight of the smoothness term.

See Also: getAlpha

virtual void cv::VariationalRefinement::setDelta ( float val )

pure virtual

Python:
	None	=	cv.VariationalRefinement.setDelta(	val	)

Weight of the color constancy term.

See Also: getDelta

virtual void cv::VariationalRefinement::setFixedPointIterations ( int val )

pure virtual

Python:
	None	=	cv.VariationalRefinement.setFixedPointIterations(	val	)

Number of outer (fixed-point) iterations in the minimization procedure.

See Also: getFixedPointIterations

virtual void cv::VariationalRefinement::setGamma ( float val )

pure virtual

Python:
	None	=	cv.VariationalRefinement.setGamma(	val	)

Weight of the gradient constancy term.

See Also: getGamma

virtual void cv::VariationalRefinement::setOmega ( float val )

pure virtual

Python:
	None	=	cv.VariationalRefinement.setOmega(	val	)

Relaxation factor in SOR.

See Also: getOmega

virtual void cv::VariationalRefinement::setSorIterations ( int val )

pure virtual

Python:
	None	=	cv.VariationalRefinement.setSorIterations(	val	)

Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.

See Also: getSorIterations

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

modules/video/include/opencv2/video/tracking.hpp

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation