Graphical Models as Surrogates for Complex Ground Motion Models.
Kristin VogelCarsten RiggelsenNicolas KuehnFrank ScherbaumPublished in: ICAISC (2) (2012)
Keyphrases
- graphical models
- motion model
- belief propagation
- probabilistic model
- random variables
- approximate inference
- probabilistic graphical models
- probabilistic inference
- motion estimation
- map inference
- motion segmentation
- structure learning
- optical flow
- bayesian networks
- motion field
- markov networks
- image sequences
- conditional independence
- motion analysis
- conditional random fields
- computer vision
- chain graphs