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Title Markov random fields for vision and image processing / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
Published Cambridge, Mass. : MIT Press, [2011]
Online access available from:
ProQuest Ebook Central Subscription Collection    View Resource Record  
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Description 1 online resource (vii, 463 pages) : illustrations
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
Summary State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Computer graphics -- Mathematics.
Computer vision -- Mathematics.
Image processing -- Mathematics.
Markov random fields.
Form Electronic book
Author Blake, Andrew, 1956-
Kohli, Pushmeet.
Rother, Carsten.
ISBN 026229835X (electronic bk.)
9780262298353 (electronic bk.)