A graph cut algorithm for higher-order Markov Random Fields.
Alexander FixAritanan GruberEndre BorosRamin ZabihPublished in: ICCV (2011)
Keyphrases
- markov random field
- graph cuts
- energy function
- higher order
- mrf model
- loopy belief propagation
- segmentation algorithm
- globally optimal
- energy minimization
- parameter estimation
- belief propagation
- image segmentation
- pairwise
- image restoration
- max flow
- random fields
- potts model
- maximum a posteriori
- dynamic programming
- min cut
- foreground background segmentation
- mrf optimization
- expectation maximization
- k means
- object segmentation
- multi label
- map estimation
- interactive segmentation
- discontinuity preserving
- probabilistic model
- optimal solution
- shape prior
- segmentation method
- active contours
- simulated annealing
- labeling problems