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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