Contextual image segmentation based on AdaBoost and Markov random fields.
Ryuei NishiiPublished in: IGARSS (2003)
Keyphrases
- markov random field
- image segmentation
- graph cuts
- mrf model
- belief propagation
- energy function
- energy minimization
- parameter estimation
- higher order
- pairwise
- face detection
- maximum a posteriori
- multi class
- image restoration
- conditional random fields
- object detection
- message passing
- markov random field model
- random fields
- support vector
- learning algorithm
- efficient inference
- potential functions
- active contours
- image analysis
- feature selection
- map estimation
- iterative conditional
- potts model
- loopy belief propagation
- shape prior
- multiscale
- partition function
- low level vision
- segmentation method
- unsupervised segmentation
- textured images
- bayesian networks
- computer vision