disparity_filter.hpp File Reference

#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.