cv::optflow::SparseRLOFOpticalFlow Class Reference

Class used for calculation sparse optical flow and feature tracking with robust local optical flow (RLOF) algorithms. More...

#include <opencv2/optflow/rlofflow.hpp>

Inheritance diagram for cv::optflow::SparseRLOFOpticalFlow:

Public Member Functions
virtual float	getForwardBackward () const =0
virtual Ptr < RLOFOpticalFlowParameter >	getRLOFOpticalFlowParameter () const =0
virtual void	setForwardBackward (float val)=0
	Threshold for the forward backward confidence check.
virtual void	setRLOFOpticalFlowParameter (Ptr< RLOFOpticalFlowParameter > val)=0
	Configuration of the RLOF alogrithm.
Public Member Functions inherited from cv::SparseOpticalFlow
virtual void	calc (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err=cv::noArray())=0
	Calculates a sparse optical flow.
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< SparseRLOFOpticalFlow >	create (Ptr< RLOFOpticalFlowParameter > rlofParam=Ptr< RLOFOpticalFlowParameter >(), float forwardBackwardThreshold=1.f)
	Creates instance of SparseRLOFOpticalFlow.

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

Detailed Description

Class used for calculation sparse optical flow and feature tracking with robust local optical flow (RLOF) algorithms.

The RLOF is a fast local optical flow approach similar to the pyramidal iterative Lucas-Kanade method as proposed byBouguet00. The implementation is derived from optflow::calcOpticalFlowPyrLK().

For the RLOF configuration see optflow::RLOFOpticalFlowParameter for further details. Parameters have been described inSenst2012,Senst2013,Senst2014 andSenst2016.

Note

SIMD parallelization is only available when compiling with SSE4.1.

See Also

optflow::calcOpticalFlowSparseRLOF(), optflow::RLOFOpticalFlowParameter

Member Function Documentation

static Ptr<SparseRLOFOpticalFlow> cv::optflow::SparseRLOFOpticalFlow::create ( Ptr< RLOFOpticalFlowParameter >  rlofParam = Ptr< RLOFOpticalFlowParameter >(), float  forwardBackwardThreshold = 1.f  )

static

Python:
	retval	=	cv.optflow.SparseRLOFOpticalFlow_create(	[, rlofParam[, forwardBackwardThreshold]]	)

Creates instance of SparseRLOFOpticalFlow.

Parameters

rlofParam	see setRLOFOpticalFlowParameter
forwardBackwardThreshold	see setForwardBackward

virtual float cv::optflow::SparseRLOFOpticalFlow::getForwardBackward ( ) const

pure virtual

Python:
	retval	=	cv.optflow_SparseRLOFOpticalFlow.getForwardBackward(		)

Threshold for the forward backward confidence check.

See Also

setForwardBackward

virtual Ptr<RLOFOpticalFlowParameter> cv::optflow::SparseRLOFOpticalFlow::getRLOFOpticalFlowParameter ( ) const

pure virtual

Python:
	retval	=	cv.optflow_SparseRLOFOpticalFlow.getRLOFOpticalFlowParameter(		)

Configuration of the RLOF alogrithm.

See Also

setRLOFOpticalFlowParameter

virtual void cv::optflow::SparseRLOFOpticalFlow::setForwardBackward ( float  val )

pure virtual

Python:
	None	=	cv.optflow_SparseRLOFOpticalFlow.setForwardBackward(	val	)

Threshold for the forward backward confidence check.

For each feature point a motion vector \( d_{I0,I1}(\mathbf{x}) \) is computed. If the forward backward error

\[ EP_{FB} = || d_{I0,I1} + d_{I1,I0} || \]

is larger than threshold given by this function then the status will not be used by the following vector field interpolation. \( d_{I1,I0} \) denotes the backward flow. Note, the forward backward test will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation.

See Also

setForwardBackward

virtual void cv::optflow::SparseRLOFOpticalFlow::setRLOFOpticalFlowParameter ( Ptr< RLOFOpticalFlowParameter >  val )

pure virtual

Python:
	None	=	cv.optflow_SparseRLOFOpticalFlow.setRLOFOpticalFlowParameter(	val	)

Configuration of the RLOF alogrithm.

See Also

optflow::RLOFOpticalFlowParameter, getRLOFOpticalFlowParameter

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

• rlofflow.hpp