OpenCV  4.7.0-dev
Open Source Computer Vision
Classes | Enumerations | Functions
cv::stereo Namespace Reference

Classes

struct  MatchQuasiDense
 
struct  PropagationParameters
 
class  QuasiDenseStereo
 Class containing the methods needed for Quasi Dense Stereo computation. More...
 
class  StereoBinaryBM
 Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More...
 
class  StereoBinarySGBM
 The class implements the modified H. Hirschmuller algorithm [113] that differs from the original one as follows: More...
 
class  StereoMatcher
 Filters off small noise blobs (speckles) in the disparity map. More...
 

Enumerations

enum  {
  CV_DENSE_CENSUS,
  CV_SPARSE_CENSUS,
  CV_CS_CENSUS,
  CV_MODIFIED_CS_CENSUS,
  CV_MODIFIED_CENSUS_TRANSFORM,
  CV_MEAN_VARIATION,
  CV_STAR_KERNEL
}
 types of supported kernels More...
 
enum  {
  CV_SPECKLE_REMOVAL_ALGORITHM,
  CV_SPECKLE_REMOVAL_AVG_ALGORITHM
}
 speckle removal algorithms. These algorithms have the purpose of removing small regions More...
 
enum  {
  CV_QUADRATIC_INTERPOLATION,
  CV_SIMETRICV_INTERPOLATION
}
 subpixel interpolationm methods for disparities. More...
 

Functions

void censusTransform (const Mat &image1, const Mat &image2, int kernelSize, Mat &dist1, Mat &dist2, const int type)
 
void censusTransform (const Mat &image1, int kernelSize, Mat &dist1, const int type)
 single image census transform More...
 
void modifiedCensusTransform (const Mat &img1, const Mat &img2, int kernelSize, Mat &dist1, Mat &dist2, const int type, int t=0, const Mat &integralImage1=Mat(), const Mat &integralImage2=Mat())
 
void modifiedCensusTransform (const Mat &img1, int kernelSize, Mat &dist, const int type, int t=0, const Mat &integralImage=Mat())
 single version of modified census transform descriptor More...
 
void starCensusTransform (const Mat &img1, const Mat &img2, int kernelSize, Mat &dist1, Mat &dist2)
 in a 9x9 kernel only certain positions are choosen More...
 
void starCensusTransform (const Mat &img1, int kernelSize, Mat &dist)
 single image version of star kernel More...
 
void symetricCensusTransform (const Mat &img1, const Mat &img2, int kernelSize, Mat &dist1, Mat &dist2, const int type)
 
void symetricCensusTransform (const Mat &img1, int kernelSize, Mat &dist1, const int type)
 single version of census transform More...
 

Enumeration Type Documentation

◆ anonymous enum

anonymous enum

types of supported kernels

Enumerator
CV_DENSE_CENSUS 
Python: cv.stereo.CV_DENSE_CENSUS
CV_SPARSE_CENSUS 
Python: cv.stereo.CV_SPARSE_CENSUS
CV_CS_CENSUS 
Python: cv.stereo.CV_CS_CENSUS
CV_MODIFIED_CS_CENSUS 
Python: cv.stereo.CV_MODIFIED_CS_CENSUS
CV_MODIFIED_CENSUS_TRANSFORM 
Python: cv.stereo.CV_MODIFIED_CENSUS_TRANSFORM
CV_MEAN_VARIATION 
Python: cv.stereo.CV_MEAN_VARIATION
CV_STAR_KERNEL 
Python: cv.stereo.CV_STAR_KERNEL

Function Documentation

◆ censusTransform() [1/2]

void cv::stereo::censusTransform ( const Mat image1,
const Mat image2,
int  kernelSize,
Mat dist1,
Mat dist2,
const int  type 
)

Two variations of census applied on input images Implementation of a census transform which is taking into account just the some pixels from the census kernel thus allowing for larger block sizes

◆ censusTransform() [2/2]

void cv::stereo::censusTransform ( const Mat image1,
int  kernelSize,
Mat dist1,
const int  type 
)

single image census transform

◆ modifiedCensusTransform() [1/2]

void cv::stereo::modifiedCensusTransform ( const Mat img1,
const Mat img2,
int  kernelSize,
Mat dist1,
Mat dist2,
const int  type,
int  t = 0,
const Mat integralImage1 = Mat(),
const Mat integralImage2 = Mat() 
)

STANDARD_MCT - Modified census which is memorizing for each pixel 2 bits and includes a tolerance to the pixel comparison MCT_MEAN_VARIATION - Implementation of a modified census transform which is also taking into account the variation to the mean of the window not just the center pixel

◆ modifiedCensusTransform() [2/2]

void cv::stereo::modifiedCensusTransform ( const Mat img1,
int  kernelSize,
Mat dist,
const int  type,
int  t = 0,
const Mat integralImage = Mat() 
)

single version of modified census transform descriptor

◆ starCensusTransform() [1/2]

void cv::stereo::starCensusTransform ( const Mat img1,
const Mat img2,
int  kernelSize,
Mat dist1,
Mat dist2 
)

in a 9x9 kernel only certain positions are choosen

◆ starCensusTransform() [2/2]

void cv::stereo::starCensusTransform ( const Mat img1,
int  kernelSize,
Mat dist 
)

single image version of star kernel

◆ symetricCensusTransform() [1/2]

void cv::stereo::symetricCensusTransform ( const Mat img1,
const Mat img2,
int  kernelSize,
Mat dist1,
Mat dist2,
const int  type 
)

The classical center symetric census A modified version of cs census which is comparing a pixel with its correspondent after the center

◆ symetricCensusTransform() [2/2]

void cv::stereo::symetricCensusTransform ( const Mat img1,
int  kernelSize,
Mat dist1,
const int  type 
)

single version of census transform