Manifold guided composite of Markov random fields for image modeling.
Dahua LinJohn W. Fisher IIIPublished in: CVPR (2012)
Keyphrases
- markov random field
- random fields
- mrf model
- energy function
- low level vision
- image segmentation
- neighboring pixels
- prior model
- map estimation
- parameter estimation
- graph cuts
- input image
- energy minimization
- image features
- higher order
- low level vision tasks
- pairwise
- textured images
- maximum a posteriori
- image restoration
- image prior
- prior models
- mrf models
- image analysis
- markov mesh random field
- piecewise constant functions
- multiscale
- image set
- belief propagation
- image classification
- high resolution
- edge detection
- label field
- conditional random fields
- bayesian framework
- natural images
- map inference
- maximum a posterior
- markov networks
- segmentation method
- partition function
- level set
- gauss markov random fields
- prior information
- graphical models