EstervQrCode 2.0.0
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Public Member Functions | Static Public Member Functions | List of all members
cv::VariationalRefinement Class Referenceabstract

Variational optical flow refinement. More...

#include <tracking.hpp>

Inheritance diagram for cv::VariationalRefinement:
cv::DenseOpticalFlow cv::Algorithm

Public Member Functions

virtual CV_WRAP 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 CV_WRAP int getFixedPointIterations () const =0
 Number of outer (fixed-point) iterations in the minimization procedure.
 
virtual CV_WRAP void setFixedPointIterations (int val)=0
 Number of outer (fixed-point) iterations in the minimization procedure.
 
virtual CV_WRAP int getSorIterations () const =0
 Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.
 
virtual CV_WRAP void setSorIterations (int val)=0
 Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.
 
virtual CV_WRAP float getOmega () const =0
 Relaxation factor in SOR.
 
virtual CV_WRAP void setOmega (float val)=0
 Relaxation factor in SOR.
 
virtual CV_WRAP float getAlpha () const =0
 Weight of the smoothness term.
 
virtual CV_WRAP void setAlpha (float val)=0
 Weight of the smoothness term.
 
virtual CV_WRAP float getDelta () const =0
 Weight of the color constancy term.
 
virtual CV_WRAP void setDelta (float val)=0
 Weight of the color constancy term.
 
virtual CV_WRAP float getGamma () const =0
 Weight of the gradient constancy term.
 
virtual CV_WRAP void setGamma (float val)=0
 Weight of the gradient constancy term.
 
virtual CV_WRAP float getEpsilon () const =0
 Norm value shift for robust penalizer.
 
virtual CV_WRAP void setEpsilon (float val)=0
 Norm value shift for robust penalizer.
 
- Public Member Functions inherited from cv::DenseOpticalFlow
virtual CV_WRAP void calc (InputArray I0, InputArray I1, InputOutputArray flow)=0
 Calculates an optical flow.
 
virtual CV_WRAP void collectGarbage ()=0
 Releases all inner buffers.
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual CV_WRAP void clear ()
 Clears the algorithm state.
 
virtual CV_WRAP void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage.
 
CV_WRAP void write (FileStorage &fs, const String &name) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 
virtual CV_WRAP void read (const FileNode &fn)
 Reads algorithm parameters from a file storage.
 
virtual CV_WRAP bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
 
virtual CV_WRAP void save (const String &filename) const
 
virtual CV_WRAP String getDefaultName () const
 

Static Public Member Functions

static CV_WRAP Ptr< VariationalRefinementcreate ()
 Creates an instance of VariationalRefinement.
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node.
 
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.
 

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 in [Brox2004]

Member Function Documentation

◆ calcUV()

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

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

◆ create()

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

Creates an instance of VariationalRefinement.

◆ getAlpha()

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

Weight of the smoothness term.

See also
setAlpha

◆ getDelta()

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

Weight of the color constancy term.

See also
setDelta

◆ getEpsilon()

virtual CV_WRAP float cv::VariationalRefinement::getEpsilon ( ) const
pure virtual

Norm value shift for robust penalizer.

See also
setEpsilon

◆ getFixedPointIterations()

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

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

See also
setFixedPointIterations

◆ getGamma()

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

Weight of the gradient constancy term.

See also
setGamma

◆ getOmega()

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

Relaxation factor in SOR.

See also
setOmega

◆ getSorIterations()

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

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

See also
setSorIterations

◆ setAlpha()

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

Weight of the smoothness term.

See also
getAlpha

◆ setDelta()

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

Weight of the color constancy term.

See also
getDelta

◆ setEpsilon()

virtual CV_WRAP void cv::VariationalRefinement::setEpsilon ( float  val)
pure virtual

Norm value shift for robust penalizer.

See also
getEpsilon

◆ setFixedPointIterations()

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

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

See also
getFixedPointIterations

◆ setGamma()

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

Weight of the gradient constancy term.

See also
getGamma

◆ setOmega()

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

Relaxation factor in SOR.

See also
getOmega

◆ setSorIterations()

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

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: