OpenCV
3.4.17
Open Source Computer Vision
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Classes | |
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 [103] 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... | |
anonymous enum |
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
void cv::stereo::censusTransform | ( | const Mat & | image1, |
int | kernelSize, | ||
Mat & | dist1, | ||
const int | type | ||
) |
single image census transform
void cv::stereo::modifiedCensusTransform | ( | const Mat & | img1, |
const Mat & | img2, | ||
int | kernelSize, | ||
Mat & | dist1, | ||
Mat & | dist2, | ||
const int | type, | ||
int | t = 0 , |
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const Mat & | integralImage1 = Mat() , |
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const Mat & | integralImage2 = Mat() |
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) |
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
void cv::stereo::modifiedCensusTransform | ( | const Mat & | img1, |
int | kernelSize, | ||
Mat & | dist, | ||
const int | type, | ||
int | t = 0 , |
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const Mat & | integralImage = Mat() |
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) |
single version of modified census transform descriptor
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
single image version of star kernel
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