Data driven mean-shift belief propagation for non-gaussian MRFs.
Minwoo ParkSomesh KashyapRobert T. CollinsYanxi LiuPublished in: CVPR (2010)
Keyphrases
- mean shift
- belief propagation
- graph cuts
- markov random field
- message passing
- energy function
- loopy belief propagation
- approximate inference
- energy minimization
- graphical models
- object tracking
- markov networks
- image segmentation
- factor graphs
- fixed point
- partition function
- density function
- clique potentials
- stereo matching
- image restoration
- feature space
- random fields
- mrf model
- denoising
- pairwise
- maximum a posteriori
- information theoretic
- particle filter
- low level vision