1 Applications of belief propagation in low-level vision Bill Freeman Massachusetts Institute of Technology Jan. 12, 2010 Joint work with: Egon Pasztor,
Markov Random Fields
Applications of belief propagation in low-level vision
Markov Random Fields Allows rich probabilistic models for images. But built in a local, modular way. Learn local relationships, get global effects out.
