A Comparative Study of Energy Minimization Methods for Markov Random Fields.
Richard SzeliskiRamin ZabihDaniel ScharsteinOlga VekslerVladimir KolmogorovAseem AgarwalaMarshall F. TappenCarsten RotherPublished in: ECCV (2) (2006)
Keyphrases
- energy minimization
- markov random field
- graph cuts
- energy function
- problems in computer vision
- belief propagation
- loopy belief propagation
- image segmentation
- low level vision
- higher order
- mrf models
- parameter estimation
- maximum a posteriori
- max flow
- random fields
- iterated conditional modes
- energy minimization problems
- mrf model
- image restoration
- pairwise
- computer vision
- conditional random fields
- parameter learning
- segmentation method
- level set
- high resolution
- dual decomposition
- max flow min cut