cv::StereoBM クラス

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

#include <calib3d.hpp>

cv::StereoMatcherを継承しています。

公開型
enum	{ PREFILTER_NORMALIZED_RESPONSE = 0 , PREFILTER_XSOBEL = 1 }
基底クラス cv::StereoMatcher に属する継承公開型
enum	{ DISP_SHIFT = 4 , DISP_SCALE = (1 << DISP_SHIFT) }

公開メンバ関数
virtual CV_WRAP int	getPreFilterType () const =0
virtual CV_WRAP void	setPreFilterType (int preFilterType)=0
virtual CV_WRAP int	getPreFilterSize () const =0
virtual CV_WRAP void	setPreFilterSize (int preFilterSize)=0
virtual CV_WRAP int	getPreFilterCap () const =0
virtual CV_WRAP void	setPreFilterCap (int preFilterCap)=0
virtual CV_WRAP int	getTextureThreshold () const =0
virtual CV_WRAP void	setTextureThreshold (int textureThreshold)=0
virtual CV_WRAP int	getUniquenessRatio () const =0
virtual CV_WRAP void	setUniquenessRatio (int uniquenessRatio)=0
virtual CV_WRAP int	getSmallerBlockSize () const =0
virtual CV_WRAP void	setSmallerBlockSize (int blockSize)=0
virtual CV_WRAP Rect	getROI1 () const =0
virtual CV_WRAP void	setROI1 (Rect roi1)=0
virtual CV_WRAP Rect	getROI2 () const =0
virtual CV_WRAP void	setROI2 (Rect roi2)=0
基底クラス cv::StereoMatcher に属する継承公開メンバ関数
virtual CV_WRAP void	compute (InputArray left, InputArray right, OutputArray disparity)=0
	Computes disparity map for the specified stereo pair [詳解]
virtual CV_WRAP int	getMinDisparity () const =0
virtual CV_WRAP void	setMinDisparity (int minDisparity)=0
virtual CV_WRAP int	getNumDisparities () const =0
virtual CV_WRAP void	setNumDisparities (int numDisparities)=0
virtual CV_WRAP int	getBlockSize () const =0
virtual CV_WRAP void	setBlockSize (int blockSize)=0
virtual CV_WRAP int	getSpeckleWindowSize () const =0
virtual CV_WRAP void	setSpeckleWindowSize (int speckleWindowSize)=0
virtual CV_WRAP int	getSpeckleRange () const =0
virtual CV_WRAP void	setSpeckleRange (int speckleRange)=0
virtual CV_WRAP int	getDisp12MaxDiff () const =0
virtual CV_WRAP void	setDisp12MaxDiff (int disp12MaxDiff)=0
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< StereoBM >	create (int numDisparities=0, int blockSize=21)
	Creates StereoBM object [詳解]
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

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

関数詳解

create()

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

static

Creates StereoBM object

引数

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.

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このクラス詳解は次のファイルから抽出されました:

• calib3d.hpp