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Title Markov random fields for vision and image processing / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother.
Imprint Cambridge, Mass. : MIT Press, [2011]

Subject Image processing -- Mathematics.
Computer graphics -- Mathematics.
Computer vision -- Mathematics.
Markov random fields.
Alt Name Blake, Andrew, 1956-
Kohli, Pushmeet.
Rother, Carsten.
Description 1 online resource (vii, 463 pages) : illustrations
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Summary State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.
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.
Note Print version record.
ISBN 9780262298353 (electronic bk.)
026229835X (electronic bk.)
OCLC # 750172643
Additional Format Print version: Markov random fields for vision and image processing. Cambridge, Mass. : MIT Press, ©2011 9780262015776 (DLC) 2010046702 (OCoLC)689858497

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