Semi-global matching (SGM) is a technique used in computer vision, particularly for stereo vision and depth estimation. It is designed to compute disparity maps efficiently and accurately from stereo image pairs. The goal of SGM is to find corresponding points in two images taken from different viewpoints, allowing for the estimation of depth by measuring the disparity between these points.
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