disparity_filter.hpp#

#include <opencv2/core.hpp>
#include <opencv2/stereo.hpp>

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Classes#

class cv::ximgproc::DisparityFilter

Main interface for all disparity map filters. More…

class cv::ximgproc::DisparityWLSFilter

Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas. More…

Namespaces#

namespace cv

namespace cv::ximgproc

Functions#

double cv::ximgproc::computeBadPixelPercent (InputArray GT, InputArray src, Rect ROI, int thresh=24)

Function for computing the percent of “bad” pixels in the disparity map (pixels where error is higher than a specified threshold)

double cv::ximgproc::computeMSE (InputArray GT, InputArray src, Rect ROI)

Function for computing mean square error for disparity maps.

Ptr< DisparityWLSFilter > cv::ximgproc::createDisparityWLSFilter (Ptr< StereoMatcher > matcher_left)

Convenience factory method that creates an instance of DisparityWLSFilter and sets up all the relevant filter parameters automatically based on the matcher instance. Currently supports only StereoBM and StereoSGBM.

Ptr< DisparityWLSFilter > cv::ximgproc::createDisparityWLSFilterGeneric (bool use_confidence)

More generic factory method, create instance of DisparityWLSFilter and execute basic initialization routines. When using this method you will need to set-up the ROI, matchers and other parameters by yourself.

Ptr< StereoMatcher > cv::ximgproc::createRightMatcher (Ptr< StereoMatcher > matcher_left)

Convenience method to set up the matcher for computing the right-view disparity map that is required in case of filtering with confidence.

void cv::ximgproc::getDisparityVis (InputArray src, OutputArray dst, double scale=1.0)

Function for creating a disparity map visualization (clamped CV_8U image)

int cv::ximgproc::readGT (String src_path, OutputArray dst)

Function for reading ground truth disparity maps. Supports basic Middlebury and MPI-Sintel formats. Note that the resulting disparity map is scaled by 16.