Graph Cut Based Optimization for MRFs with Truncated Convex Priors.
Olga VekslerPublished in: CVPR (2007)
Keyphrases
- mrf optimization
- graph cuts
- markov random field
- labeling problems
- energy minimization
- dual decomposition
- max flow
- optimization algorithm
- energy function
- globally optimal
- optimization problems
- higher order
- image parsing
- min cut max flow
- risk minimization
- convex relaxation
- stochastic sampling
- belief propagation
- map estimation
- maximum a posteriori
- multi label
- low level vision
- efficient optimization
- image restoration and reconstruction
- convex programming
- optimization methods
- image understanding
- prior knowledge
- min cut
- convex optimization problems
- map inference
- potential functions
- superpixels
- image segmentation