MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors.
Ertunc ErdilSinan YildirimMüjdat ÇetinTolga TasdizenPublished in: CVPR (2016)
Keyphrases
- shape prior
- image segmentation
- markov chain monte carlo
- graph cuts
- shape model
- active contours
- deformable models
- object segmentation
- level set
- shape variations
- level set segmentation
- shape representation
- segmentation method
- pose invariant
- curve evolution
- bayesian framework
- segmentation algorithm
- robust segmentation
- statistical shape
- prior shape
- active contour model
- statistical models
- level set framework
- prior knowledge
- intensity information
- kernel density estimation
- posterior distribution
- level set based segmentation
- shape matching
- global optimization
- level set method
- energy function
- variational segmentation
- user interaction
- min cut
- energy functional
- interactive segmentation
- global shape
- variational framework
- parameter estimation
- prior information
- ordering constraints
- higher order
- image processing
- approximate inference
- density estimation
- medical images
- markov random field
- multiscale
- appearance cues
- computer vision