OpenCV453
公開型 | 公開メンバ関数 | 静的公開メンバ関数 | 全メンバ一覧
cv::stereo::StereoBinaryBM クラスabstract

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

#include <stereo.hpp>

cv::stereo::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::stereo::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 int getPreFilterType () const =0
 
virtual void setPreFilterType (int preFilterType)=0
 
virtual int getPreFilterSize () const =0
 
virtual void setPreFilterSize (int preFilterSize)=0
 
virtual int getPreFilterCap () const =0
 
virtual void setPreFilterCap (int preFilterCap)=0
 
virtual int getTextureThreshold () const =0
 
virtual void setTextureThreshold (int textureThreshold)=0
 
virtual int getUniquenessRatio () const =0
 
virtual void setUniquenessRatio (int uniquenessRatio)=0
 
virtual int getSmallerBlockSize () const =0
 
virtual void setSmallerBlockSize (int blockSize)=0
 
virtual int getScalleFactor () const =0
 
virtual void setScalleFactor (int factor)=0
 
virtual int getSpekleRemovalTechnique () const =0
 
virtual void setSpekleRemovalTechnique (int factor)=0
 
virtual bool getUsePrefilter () const =0
 
virtual void setUsePrefilter (bool factor)=0
 
virtual int getBinaryKernelType () const =0
 
virtual void setBinaryKernelType (int value)=0
 
virtual int getAgregationWindowSize () const =0
 
virtual void setAgregationWindowSize (int value)=0
 
- 基底クラス cv::stereo::StereoMatcher に属する継承公開メンバ関数
virtual void compute (InputArray left, InputArray right, OutputArray disparity)=0
 Computes disparity map for the specified stereo pair [詳解]
 
virtual int getMinDisparity () const =0
 
virtual void setMinDisparity (int minDisparity)=0
 
virtual int getNumDisparities () const =0
 
virtual void setNumDisparities (int numDisparities)=0
 
virtual int getBlockSize () const =0
 
virtual void setBlockSize (int blockSize)=0
 
virtual int getSpeckleWindowSize () const =0
 
virtual void setSpeckleWindowSize (int speckleWindowSize)=0
 
virtual int getSpeckleRange () const =0
 
virtual void setSpeckleRange (int speckleRange)=0
 
virtual int getDisp12MaxDiff () const =0
 
virtual 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_EXPORTS Ptr< cv::stereo::StereoBinaryBMcreate (int numDisparities=0, int blockSize=9)
 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_EXPORTS Ptr< cv::stereo::StereoBinaryBM > cv::stereo::StereoBinaryBM::create ( int  numDisparities = 0,
int  blockSize = 9 
)
static

Creates StereoBM object

引数
numDisparitiesthe 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.
blockSizethe 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.


このクラス詳解は次のファイルから抽出されました: