markov random fields的各类优化算法及应用Optimization methods included: 1) ICM 2) Graph Cuts 3) Max-Product Belief Propagation 4) Sequential tree-reweighted message passing (TRW-S) Applications include: (1)binary (2)denoise (3)stereomatch (

置信传播立体匹配算法，详细说明消息传递的过程，经典论文！-Markov random ?eld models provide a robust and uni?ed framework for early vision problems such as stereo and image restoration. Inference algorithms based on graph cuts and belief propagation have been found to yield accu

This directory contains the MRF energy minimization software accompanying the paper [1] A Comparative Study of Energy Minimization Methods for Markov Random Fields. R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarw