Efficient Belief Propagation for Early Vision

    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference, Volume 70, Issue 1, 2004, Pages I-261.

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    Keywords:
    belief propagationMarkov random fieldsstereoimage restorationefficient algorithms

    Abstract:

    Markov random field models provide a robust and unified 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 accurate results, but despite recent advances are often too slow for practical use. In this paper we present some algorit...More

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