cv::StereoBM Class Reference

Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More...

#include <opencv2/calib3d.hpp>

Inheritance diagram for cv::StereoBM:

Public Types
enum	{   PREFILTER_NORMALIZED_RESPONSE = 0,   PREFILTER_XSOBEL = 1 }
Public Types inherited from cv::StereoMatcher
enum	{   DISP_SHIFT = 4,   DISP_SCALE = (1 << DISP_SHIFT) }

Public Member Functions
virtual int	getPreFilterCap () const =0
virtual int	getPreFilterSize () const =0
virtual int	getPreFilterType () const =0
virtual Rect	getROI1 () const =0
virtual Rect	getROI2 () const =0
virtual int	getSmallerBlockSize () const =0
virtual int	getTextureThreshold () const =0
virtual int	getUniquenessRatio () const =0
virtual void	setPreFilterCap (int preFilterCap)=0
virtual void	setPreFilterSize (int preFilterSize)=0
virtual void	setPreFilterType (int preFilterType)=0
virtual void	setROI1 (Rect roi1)=0
virtual void	setROI2 (Rect roi2)=0
virtual void	setSmallerBlockSize (int blockSize)=0
virtual void	setTextureThreshold (int textureThreshold)=0
virtual void	setUniquenessRatio (int uniquenessRatio)=0
Public Member Functions inherited from cv::StereoMatcher
virtual void	compute (InputArray left, InputArray right, OutputArray disparity)=0
	Computes disparity map for the specified stereo pair. More...
virtual int	getBlockSize () const =0
virtual int	getDisp12MaxDiff () const =0
virtual int	getMinDisparity () const =0
virtual int	getNumDisparities () const =0
virtual int	getSpeckleRange () const =0
virtual int	getSpeckleWindowSize () const =0
virtual void	setBlockSize (int blockSize)=0
virtual void	setDisp12MaxDiff (int disp12MaxDiff)=0
virtual void	setMinDisparity (int minDisparity)=0
virtual void	setNumDisparities (int numDisparities)=0
virtual void	setSpeckleRange (int speckleRange)=0
virtual void	setSpeckleWindowSize (int speckleWindowSize)=0
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
static Ptr< StereoBM >	create (int numDisparities=0, int blockSize=21)
	Creates StereoBM object. More...
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. More...
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

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

Detailed Description

Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige.

Member Enumeration Documentation

anonymous enum

anonymous enum

Enumerator
PREFILTER_NORMALIZED_RESPONSE
PREFILTER_XSOBEL

Member Function Documentation

create()

static Ptr<StereoBM> cv::StereoBM::create ( int  numDisparities = 0, int  blockSize = 21  )

static

Python:
	retval	=	cv.StereoBM_create(	[, numDisparities[, blockSize]]	)

Creates StereoBM object.

Parameters

numDisparities	the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to numDisparities. The search range can then be shifted by changing the minimum disparity.
blockSize	the linear size of the blocks compared by the algorithm. The size should be odd (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is higher chance for algorithm to find a wrong correspondence.

The function create StereoBM object. You can then call StereoBM::compute() to compute disparity for a specific stereo pair.

getPreFilterCap()

virtual int cv::StereoBM::getPreFilterCap ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getPreFilterCap(		)

getPreFilterSize()

virtual int cv::StereoBM::getPreFilterSize ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getPreFilterSize(		)

getPreFilterType()

virtual int cv::StereoBM::getPreFilterType ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getPreFilterType(		)

getROI1()

virtual Rect cv::StereoBM::getROI1 ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getROI1(		)

getROI2()

virtual Rect cv::StereoBM::getROI2 ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getROI2(		)

getSmallerBlockSize()

virtual int cv::StereoBM::getSmallerBlockSize ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getSmallerBlockSize(		)

getTextureThreshold()

virtual int cv::StereoBM::getTextureThreshold ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getTextureThreshold(		)

getUniquenessRatio()

virtual int cv::StereoBM::getUniquenessRatio ( ) const

pure virtual

Python:
	retval	=	cv.StereoBM.getUniquenessRatio(		)

setPreFilterCap()

virtual void cv::StereoBM::setPreFilterCap ( int  preFilterCap )

pure virtual

Python:
	None	=	cv.StereoBM.setPreFilterCap(	preFilterCap	)

setPreFilterSize()

virtual void cv::StereoBM::setPreFilterSize ( int  preFilterSize )

pure virtual

Python:
	None	=	cv.StereoBM.setPreFilterSize(	preFilterSize	)

setPreFilterType()

virtual void cv::StereoBM::setPreFilterType ( int  preFilterType )

pure virtual

Python:
	None	=	cv.StereoBM.setPreFilterType(	preFilterType	)

setROI1()

virtual void cv::StereoBM::setROI1 ( Rect  roi1 )

pure virtual

Python:
	None	=	cv.StereoBM.setROI1(	roi1	)

setROI2()

virtual void cv::StereoBM::setROI2 ( Rect  roi2 )

pure virtual

Python:
	None	=	cv.StereoBM.setROI2(	roi2	)

setSmallerBlockSize()

virtual void cv::StereoBM::setSmallerBlockSize ( int  blockSize )

pure virtual

Python:
	None	=	cv.StereoBM.setSmallerBlockSize(	blockSize	)

setTextureThreshold()

virtual void cv::StereoBM::setTextureThreshold ( int  textureThreshold )

pure virtual

Python:
	None	=	cv.StereoBM.setTextureThreshold(	textureThreshold	)

setUniquenessRatio()

virtual void cv::StereoBM::setUniquenessRatio ( int  uniquenessRatio )

pure virtual

Python:
	None	=	cv.StereoBM.setUniquenessRatio(	uniquenessRatio	)

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

• opencv2/calib3d.hpp