Markov random fields for vision and image processing /
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Imprint: | Cambridge, Mass. : MIT Press, ©2011. |
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Description: | 1 online resource (vii, 463 pages) : illustrations |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11102738 |
Table of Contents:
- Machine generated contents note: 1. Introduction to Markov Random Fields / Pushmeet Kohli
- I. Algorithms for Inference of MAP Estimates for MRFs
- 2. Basic Graph Cut Algorithms / Vladimir Kolmogorov
- 3. Optimizing Multilabel MRFs Using Move-Making Algorithms / Ramin Zabih
- 4. Optimizing Multilabel MRFs with Convex and Truncated Convex Priors / Olga Veksler
- 5. Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations / Alan Yuille
- 6. Linear Programming and Variants of Belief Propagation / Talya Meltzer
- II. Applications of MRFs, Including Segmentation
- 7. Interactive Foreground Extraction: Using Graph Cut / Andrew Blake
- 8. Continuous-Valued MRF for Image Segmentation / Rene Vidal
- 9. Bilayer Segmentation of Video / Vladimir Kolmogorov
- 10. MRFs for Superresolution and Texture Synthesis / Ce Liu
- 11. Comparative Study of Energy Minimization Methods for MRFs.