Global Optimization for First Order Markov Random Fields with Submodular Priors.
Jérôme DarbonPublished in: IWCIA (2008)
Keyphrases
- global optimization
- markov random field
- higher order
- energy minimization
- maximum a posteriori
- prior model
- high order
- map estimation
- labeling problems
- energy function
- graph cuts
- prior models
- belief propagation
- parameter estimation
- mrf model
- higher order cliques
- image restoration
- image segmentation
- conditional random fields
- particle swarm optimization
- random fields
- pairwise
- smoothness prior
- mrf models
- first order logic
- potential functions
- low level vision
- bayesian framework
- image prior
- textured images
- map inference
- objective function
- prior information
- natural images
- constrained global optimization
- piecewise constant functions
- prior knowledge
- min cut
- posterior distribution
- non stationary
- upper bound
- imperialist competitive algorithm