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» Interpreting Images by Propagating Bayesian Beliefs
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NIPS
1996
13 years 6 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss
ICASSP
2011
IEEE
12 years 8 months ago
A segmentation method for textured images based on the maximum posterior mode criterion
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with r...
Frédéric Lehmann
ICIP
2010
IEEE
13 years 2 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
NIPS
2001
13 years 6 months ago
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
Anand Rangarajan, Alan L. Yuille
FGR
2004
IEEE
129views Biometrics» more  FGR 2004»
13 years 8 months ago
Multiple Frame Motion Inference Using Belief Propagation
We present an algorithm for automatic inference of human upper body motion. A graph model is proposed for inferring human motion, and motion inference is posed as a mapping proble...
Jiang Gao, Jianbo Shi