A Bayesian formulation of graph-cut surface estimation with global shape priors.
Gopalkrishna VeniShireen Y. ElhabianRoss T. WhitakerPublished in: ISBI (2015)
Keyphrases
- global shape
- shape prior
- bayesian framework
- bayesian formulation
- graph cuts
- energy function
- prior knowledge
- markov random field
- maximum a posteriori
- labeling problems
- shape model
- posterior probability
- generative model
- expectation maximization
- image segmentation
- shape features
- probability density function
- segmentation algorithm
- energy functional
- parameter estimation
- shape matching
- shape descriptors
- prior information
- shape recovery
- maximum likelihood
- global optimization
- deformable models
- object recognition
- active contours
- computer vision