Global optimization for first order Markov Random Fields with submodular priors.
Jérôme DarbonPublished in: Discret. Appl. Math. (2009)
Keyphrases
- global optimization
- markov random field
- higher order
- energy minimization
- maximum a posteriori
- prior model
- high order
- map estimation
- higher order cliques
- graph cuts
- energy function
- labeling problems
- belief propagation
- prior models
- mrf model
- parameter estimation
- image prior
- image restoration
- first order logic
- particle swarm optimization
- random fields
- pairwise
- potential functions
- image segmentation
- bayesian framework
- low level vision
- natural images
- smoothness prior
- conditional random fields
- constrained global optimization
- textured images
- globally optimal
- posterior distribution
- prior distribution
- discriminative random fields
- image processing