Markov random fields for vision and image processing /

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Bibliographic Details
Imprint:Cambridge, Mass. : MIT Press, ©2011.
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
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Other authors / contributors:Blake, Andrew, 1956-
Kohli, Pushmeet.
Rother, Carsten.
ISBN:9780262298353
026229835X
128325865X
9781283258654
9780262015776
0262015773
Notes:Includes bibliographical references and index.
Print version record.
Summary:State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.
Other form:Print version: Markov random fields for vision and image processing. Cambridge, Mass. : MIT Press, ©2011 9780262015776
Standard no.:3634472
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.