stereo.hpp File Reference

#include "opencv2/core.hpp"

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Classes
class	cv::StereoBM
	Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More...
class	cv::StereoMatcher
	The base class for stereo correspondence algorithms. More...
class	cv::StereoSGBM
	The class implements the modified H. Hirschmuller algorithm [126] that differs from the original one as follows: More...

Namespaces
namespace	cv
namespace	cv::fisheye
	The methods in this namespace use a so-called fisheye camera model.

Enumerations
enum	{ cv::STEREO_ZERO_DISPARITY =0x00400 }

Functions
void	cv::filterSpeckles (InputOutputArray img, double newVal, int maxSpeckleSize, double maxDiff, InputOutputArray buf=noArray())
	Filters off small noise blobs (speckles) in the disparity map.
Rect	cv::getValidDisparityROI (Rect roi1, Rect roi2, int minDisparity, int numberOfDisparities, int blockSize)
	computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by stereoRectify)
float	cv::rectify3Collinear (InputArray _cameraMatrix1, InputArray _distCoeffs1, InputArray _cameraMatrix2, InputArray _distCoeffs2, InputArray _cameraMatrix3, InputArray _distCoeffs3, InputArrayOfArrays _imgpt1, InputArrayOfArrays _imgpt3, Size imageSize, InputArray _Rmat12, InputArray _Tmat12, InputArray _Rmat13, InputArray _Tmat13, OutputArray _Rmat1, OutputArray _Rmat2, OutputArray _Rmat3, OutputArray _Pmat1, OutputArray _Pmat2, OutputArray _Pmat3, OutputArray _Qmat, double alpha, Size newImgSize, Rect *roi1, Rect *roi2, int flags)
void	cv::reprojectImageTo3D (InputArray disparity, OutputArray _3dImage, InputArray Q, bool handleMissingValues=false, int ddepth=-1)
	Reprojects a disparity image to 3D space.
void	cv::fisheye::stereoRectify (InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize=Size(), double balance=0.0, double fov_scale=1.0)
	Stereo rectification for fisheye camera model.
void	cv::stereoRectify (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, Size imageSize, InputArray R, InputArray T, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags=STEREO_ZERO_DISPARITY, double alpha=-1, Size newImageSize=Size(), Rect *validPixROI1=0, Rect *validPixROI2=0)
	Computes rectification transforms for each head of a calibrated stereo camera.
bool	cv::stereoRectifyUncalibrated (InputArray points1, InputArray points2, InputArray F, Size imgSize, OutputArray H1, OutputArray H2, double threshold=5)
	Computes a rectification transform for an uncalibrated stereo camera.
void	cv::validateDisparity (InputOutputArray disparity, InputArray cost, int minDisparity, int numberOfDisparities, int disp12MaxDisp=1)
	validates disparity using the left-right check. The matrix "cost" should be computed by the stereo correspondence algorithm