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b1e9dd5454
Implementation of Quasi Dense Stereo algorithm. (#1941) * initial commit. * Remove license header. * Fix python wrap flags * Change std::string to cv::String, in function declarations, to resolve compilation issues. * Add python wrapper extending header * Fix python wrapper conflicts * Fix implicit type conversions * Change C API types and enums to C++. * Remove redundant included headers and move wanted headers to src/precomp.hpp * Remove saturate header * Remove unnecessary python wrapping flags * Removed defaults parameter header * Split declaration and implementation of the class using Pimpl. * Fix to comply with new public API. * Remove unnecessary modules * Fix maybe-uninitialized warnings on linux * Migration to stereo module * Remove CV_PROP_RW flag. * Remove CV_EXPORTS flags from class members. * Fix: Removed misplaced flag * Remove empty lines. * Move queue to private headers. * Fix default arguments of public methods. * Add authors information and switch to the compact version of license header. * Reorganize and fix markdown files. Create a table of content and move tutorials in new directories. Modify samples and tutorials to use snippet and include Doxygen commands. * Change argument name dMatch->denseMatch, to avoid confusion with cv::DMatch build-in type. * Remove duplicate snippet. * Fix: change vector resize to reserve. * Fix: replace extensive license header with the compact version.
Stereo Correspondence with different descriptors
Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
Quasi Dense Stereo
Quasi Dense Stereo is method for performing dense stereo matching. The code uses pyramidal Lucas-Kanade with Shi-Tomasi features to get the initial seed correspondences. Then these seeds are propagated by using mentioned growing scheme.