A Tutorial Introduction to Belief Propagation

This tutorial introduces belief propagation in the context of factor
graphs and demonstrates its use in a simple model of stereo
matching used in computer vision.
It assumes knowledge of probability and some familiarity with
MRFs (Markov random fields), but no familiarity with factor
graphs is assumed.