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OpenCV
4.9.0
Open Source Computer Vision
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Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More...
#include <opencv2/stereo.hpp>
Public Types | |
enum | { PREFILTER_NORMALIZED_RESPONSE = 0, PREFILTER_XSOBEL = 1 } |
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enum | { DISP_SHIFT = 4, DISP_SCALE = (1 << DISP_SHIFT) } |
Public Member Functions | |
virtual int | getAgregationWindowSize () const =0 |
virtual int | getBinaryKernelType () const =0 |
virtual int | getPreFilterCap () const =0 |
virtual int | getPreFilterSize () const =0 |
virtual int | getPreFilterType () const =0 |
virtual int | getScalleFactor () const =0 |
virtual int | getSmallerBlockSize () const =0 |
virtual int | getSpekleRemovalTechnique () const =0 |
virtual int | getTextureThreshold () const =0 |
virtual int | getUniquenessRatio () const =0 |
virtual bool | getUsePrefilter () const =0 |
virtual void | setAgregationWindowSize (int value)=0 |
virtual void | setBinaryKernelType (int value)=0 |
virtual void | setPreFilterCap (int preFilterCap)=0 |
virtual void | setPreFilterSize (int preFilterSize)=0 |
virtual void | setPreFilterType (int preFilterType)=0 |
virtual void | setScalleFactor (int factor)=0 |
virtual void | setSmallerBlockSize (int blockSize)=0 |
virtual void | setSpekleRemovalTechnique (int factor)=0 |
virtual void | setTextureThreshold (int textureThreshold)=0 |
virtual void | setUniquenessRatio (int uniquenessRatio)=0 |
virtual void | setUsePrefilter (bool factor)=0 |
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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 |
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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 (FileStorage &fs, const String &name) const |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
Static Public Member Functions | |
static Ptr< cv::stereo::StereoBinaryBM > | create (int numDisparities=0, int blockSize=9) |
Creates StereoBM object. More... | |
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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 | |
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void | writeFormat (FileStorage &fs) const |
Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige.
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static |
Creates StereoBM object.
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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