Markov random fields for vision and image processing /

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

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Blake, Andrew, 1956-, Kohli, Pushmeet, Rother, Carsten
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2011.
Temas:
Image processing > Mathematics.
Computer graphics > Mathematics.
Computer vision > Mathematics.
Markov random fields.
Traitement d'images > Mathématiques.
Infographie > Mathématiques.
Vision par ordinateur > Mathématiques.
Champs aléatoires de Markov.
COMPUTERS > Computer Vision & Pattern Recognition.
Computer graphics > Mathematics
Image processing > Mathematics
Markov random fields
NEUROSCIENCE/Visual Neuroscience
COMPUTER SCIENCE/General
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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