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Computers Image Processing

Markov Random Fields for Vision and Image Processing

edited by Andrew Blake, Pushmeet Kohli & Carsten Rother

Publisher
MIT Press
Initial publish date
Jul 2011
Category
Image Processing
  • Hardback

    ISBN
    9780262015776
    Publish Date
    Jul 2011
    List Price
    $92.00

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Description

State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.

This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications.

After an introduction to the fundamental concepts used in MRFs, the book reviews some of the main algorithms for performing inference with MRFs; presents successful applications of MRFs, including segmentation, super-resolution, and image restoration, along with a comparison of various optimization methods; discusses advanced algorithmic topics; addresses limitations of the strong locality assumptions in the MRFs discussed in earlier chapters; and showcases applications that use MRFs in more complex ways, as components in bigger systems or with multiterm energy functions. The book will be an essential guide to current research on these powerful mathematical tools.

About the authors

Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999.

Andrew Blake's profile page

Pushmeet Kohli's profile page

Carsten Rother's profile page