open Multi-View Stereo reconstruction library
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学！
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
ColecoVision, ADAM emulator and debugger with embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.
Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba
depth map computation
Compute disparity map from stereo image with semi global matching algorithm.
libStereoMatch is a universal stereo matching library. This library is developed using C++and divides the stereo matching steps into four steps: cost calculation, cost aggregation, disparity calculation, and disparity optimization. Users can build their own stereo matching algorithms through combination.
学习SGM算法用，算法照搬repo[https://github.com/ethan-li-coding/SemiGlobalMatching], 相比之下实现了对应的linux平台版本
Optimized (very fast) stereo matching algorithms in MATLAB and Python. It includes implementations of Block Matching, Dynamic Programming, Semi-Global Matching and Belief Propagation.
Semi Global Matching (SGM) CPU reference implementation
University course
A C++ implementation of Semi-Global Matching (SGM) for stereo matching. It uses the two-pass 8-directions version of the algorithm with a small improvement for better results.
MATLAB implementations of the Semi-Global Matching (SGM) stereo matching algorithm, featuring 4-path, 8-path and 16-path cost aggregation variants for dense disparity map estimation.
Evolution of Basic Stereo Matching Algorithms. From Block Matching and Dynamic Programming to Semi-Global Matching and Belief Propagation. Compare the source code to see the improvements.
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