Smooth Image Segmentation by Nonparametric Bayesian Inference.
Peter OrbanzJoachim M. BuhmannPublished in: ECCV (1) (2006)
Keyphrases
- bayesian inference
- image segmentation
- hierarchical bayesian
- statistical inference
- hyperparameters
- probabilistic model
- prior information
- variational inference
- bayesian model
- graph cuts
- gibbs sampler
- image processing
- segmentation algorithm
- active contours
- markov random field
- expectation propagation
- probabilistic modeling
- weighted model counting
- variational bayes
- level set method
- hidden variables
- prior distribution
- particle filter
- shape prior
- bayesian models
- prior knowledge
- segmentation method
- energy function
- markov chain monte carlo
- level set
- search algorithm
- learning algorithm