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Record Nr. |
UNINA9910456890503321 |
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Titolo |
Markov random fields for vision and image processing [[electronic resource] /] / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, c2011 |
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ISBN |
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1-283-25865-X |
9786613258656 |
0-262-29835-X |
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Descrizione fisica |
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1 online resource (472 p.) |
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Altri autori (Persone) |
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BlakeAndrew <1956-> |
KohliPushmeet |
RotherCarsten |
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Disciplina |
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Soggetti |
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Image processing - Mathematics |
Computer graphics - Mathematics |
Computer vision - Mathematics |
Markov random fields |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover ; Contents; 1 Introduction to Markov Random Fields; I Algorithms for Inference of MAP Estimates for MRFs; 2 Basic Graph Cut Algorithms; 3 Optimizing Multilabel MRFs Using Move-Making Algorithms; 4 Optimizing Multilabel MRFs with Convex and Truncated Convex Priors; 5 Loopy Belief Propagation, Mean Field Theory, and Bethe Approximations; 6 Linear Programming and Variants of Belief Propagation; II Applications of MRFs, including Segmentation; 7 Interactive Foreground Extraction; 8 Continuous-Valued MRF for Image Segmentation; 9 Bilayer Segmentation of Video |
10 MRFs for Superresolution and Texture Synthesis11 A Comparative Study of Energy Minimization Methods for MRFs; III Further Topics: Inference, Parameter Learning, and Continuous Models; 12 Convex Relaxation Techniques for Segmentation, Stereo, and Multiview Reconstruction; 13 Learning Parameters in Continuous-Valued Markov |
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