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！
Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba
depth map computation
End-to-end stereo depth estimation workflow using Semi-Global Matching (SGM), bridging Python reference implementations and FPGA-oriented hardware designs with transparent validation and visual comparison.
University course
Stereo disparity estimation by Normalized Cross Correlation, SGM algorithms, and performance optimization.
Optimized (very fast) stereo matching algorithms in MATLAB and Python. It includes implementations of Block Matching, Dynamic Programming, Semi-Global Matching and Belief Propagation.
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.
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.
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.
Compare the evolution of stereo matching algorithms through simplified MATLAB and Python implementations of classic computer vision techniques.
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