Message-passing labeling inference algorithms {belief propagation} can compute many graphical-distribution statistics, each with few values, to calculate disparities by finding large-neighborhood minima. Belief propagation uses sum-product to find minimum or max-product to find maximum a posteriori (MAP) estimate. For stereo vision, Markov random-field model describes disparity, and inference algorithm determines nodes.
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Date Modified: 2022.0224