Variational optical flow refinement [詳解]

#include <tracking.hpp>

cv::DenseOpticalFlowを継承しています。

公開メンバ関数
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. [詳解]

virtual CV_WRAP void	setFixedPointIterations (int val)=0
	Number of outer (fixed-point) iterations in the minimization procedure. [詳解]

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. [詳解]

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. [詳解]

virtual CV_WRAP float	getOmega () const =0
	Relaxation factor in SOR [詳解]

virtual CV_WRAP void	setOmega (float val)=0
	Relaxation factor in SOR [詳解]

virtual CV_WRAP float	getAlpha () const =0
	Weight of the smoothness term [詳解]

virtual CV_WRAP void	setAlpha (float val)=0
	Weight of the smoothness term [詳解]

virtual CV_WRAP float	getDelta () const =0
	Weight of the color constancy term [詳解]

virtual CV_WRAP void	setDelta (float val)=0
	Weight of the color constancy term [詳解]

virtual CV_WRAP float	getGamma () const =0
	Weight of the gradient constancy term [詳解]

virtual CV_WRAP void	setGamma (float val)=0
	Weight of the gradient constancy term [詳解]

基底クラス cv::DenseOpticalFlow に属する継承公開メンバ関数
virtual CV_WRAP void	calc (InputArray I0, InputArray I1, InputOutputArray flow)=0
	Calculates an optical flow. [詳解]

virtual CV_WRAP void	collectGarbage ()=0
	Releases all inner buffers. [詳解]

基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]

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

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

virtual CV_WRAP void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage [詳解]

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

virtual CV_WRAP void	save (const String &filename) const

virtual CV_WRAP String	getDefaultName () const

静的公開メンバ関数
static CV_WRAP Ptr< VariationalRefinement >	create ()
	Creates an instance of VariationalRefinement

基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]

template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]

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

その他の継承メンバ
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

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]