Efficient Belief Propagation with Learned Higher-Order Markov Random Fields.
Xiangyang LanStefan RothDaniel P. HuttenlocherMichael J. BlackPublished in: ECCV (2) (2006)
Keyphrases
- markov random field
- belief propagation
- higher order
- message passing
- graph cuts
- image restoration
- pairwise
- energy function
- loopy belief propagation
- image segmentation
- energy minimization
- random fields
- parameter estimation
- mrf model
- maximum a posteriori
- high order
- approximate inference
- markov networks
- fixed point
- conditional random fields
- natural images
- graphical models
- higher order cliques
- free energy
- factor graphs
- stereo matching
- potts model
- energy minimization problems
- partition function
- low level vision
- low level vision problems
- probabilistic inference
- exact inference