Markov random fields for vision and image processing:
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass. [u.a.]
MIT Press
2011
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | VII, 463 S. Ill., graph. Darst. |
ISBN: | 9780262015776 0262015773 |
Internformat
MARC
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020 | |a 9780262015776 |c hardcover : alk. paper |9 978-0-262-01577-6 | ||
020 | |a 0262015773 |c hardcover : alk. paper |9 0-262-01577-3 | ||
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245 | 1 | 0 | |a Markov random fields for vision and image processing |c edited by Andrew Blake ... |
264 | 1 | |a Cambridge, Mass. [u.a.] |b MIT Press |c 2011 | |
300 | |a VII, 463 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
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500 | |a Includes bibliographical references and index | ||
650 | 4 | |a Mathematik | |
650 | 4 | |a Image processing |x Mathematics | |
650 | 4 | |a Computer graphics |x Mathematics | |
650 | 4 | |a Computer vision |x Mathematics | |
650 | 4 | |a Markov random fields | |
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Datensatz im Suchindex
_version_ | 1804149064085798912 |
---|---|
adam_text | Contents
1
Introduction
to Markov Random Fields
1
Andrew Blake and Pushmeet Kohli
1 Algorithms for Inference of MAP Estimates for MRFs
29
2
Basic Graph Cut Algorithms
31
Yuri Boykov and Vladimir Kolmogorov
3
Optimizing Multilabel MRFs Using Move-Making Algorithms
51
Yuri Boykov,
Olga
Veksler, and
Ramin
Zabih
4
Optimizing Multilabel MRFs with Convex and Truncated Convex Priors
65
Hiroshi Ishikawa and
Olga
Veksler
5
Loopy Belief Propagation, Mean Field Theory, and Bethe Approximations
77
Alan Yuille
6
Linear Programming and Variants of Belief Propagation
95
Yair Weiss, Chen Yanover, and Talya Meltzer
II Applications of MRFs, Including Segmentation
109
7
Interactive Foreground Extraction: Using Graph Cut
111
Carsten Rother,
Vladimir Kolmogorov, Yuri Boykov, and Andrew Blake
8
Continuous-Valued MRF for Image Segmentation
127
Dheeraj Singaraju, Leo
Grady,
Ali
Kemål Sinop, and
René Vidal
9
BJlayer Segmentation
of
Video
143
Antonio Criminisi,
Geoffrey
Cross, Andrew
Blake, and
Vladimir Kolmogorov
10
MRFs for
Superresolution
and Texture
Synthesis
155
William T.
Freeman and
Ce Liu
Contents
11
A Comparative Study of Energy Minimization Methods for MRFs
167
Richard Szeliski,
Ramin
Zabih, Daniel
Scharstein, Olga Veksler,
Vladimir
Kolmogorov, Aseem Agarwala, Marshall
F. Tappen,
and
Carsten Rother
III Further Topics: Inference, Parameter Learning, and Continuous Models
183
12
Convex Relaxation Techniques for Segmentation, Stereo, and
Multiview Reconstruction
185
Daniel Cremers, Thomas Pock,
Kalin Kolev,
and
Antonin Chambolle
13
Learning Parameters in Continuous-Valued Markov Random Fields
201
Marshall
F. Tappen
14
Message Passing with Continuous Latent Variables
215
Michael
Isard
15
Learning Large-Margin Random Fields Using Graph Cuts
233
Martin Szummer, Pushmeet Kohli, and Derek Hoiem
16
Analyzing Convex Relaxations for MAP Estimation
249
M. Pawan Kumar, Vladimir Kolmogorov, and Philip
H. S. Torr
17
MAP Inference by Fast Primal-Dual Linear Programming
263
Nikos Komodakis
18
Fusion-Move Optimization for MRFs with an Extensive Label Space
281
Victor Lempitsky,
Carsten Rother,
Stefan Roth, and Andrew Blake
IV Higher-Order MRFs and Global Constraints
295
19
Field of Experts
297
Stefan Roth and Michael J. Black
20
Enforcing Label Consistency Using Higher-Order Potentials
311
Pushmeet Kohli,
Lubor
Ladičky,
and Philip
H. S. Torr
21
Exact Optimization for Markov Random Fields with Nonlocal Parameters
329
Victor Lempitsky, Andrew Blake, and
Carsten Rother
22
Graph Cut-Based Image Segmentation with Connectivity Priors
347
Sara Vicente, Vladimir Kolmogorov, and
Carsten Rother
V Advanced Applications of MRFs
363
23
Symmetric Stereo Matching for Occlusion Handling
365
Jian Sun,
Yin Li, Sing
Bing Kang,
and Heung-Yeung Shum
Contents
vii
24 Steerable
Random Fields for Image Restoration
377
Stefan Roth and Michael J. Black
25
Markov Random Fields for Object Detection
389
John Winn and Jamie Shotton
26
SIFT Flow: Dense Correspondence across Scenes and Its Applications
405
Ce
Liu, Jenny Yuen, Antonio
Torralba,
and William T. Freeman
27
Unwrap Mosaics: A Model for Deformable Surfaces in Video
419
Alex Rav-Acha, Pushmeet Kohli, Carsten Rother,
and Andrew Fitzgibbon
Bibliography
433
Contributors
457
Index
459
|
any_adam_object | 1 |
building | Verbundindex |
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dewey-raw | 006.3/70151 |
dewey-search | 006.3/70151 |
dewey-sort | 16.3 570151 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
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institution | BVB |
isbn | 9780262015776 0262015773 |
language | English |
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physical | VII, 463 S. Ill., graph. Darst. |
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spelling | Markov random fields for vision and image processing edited by Andrew Blake ... Cambridge, Mass. [u.a.] MIT Press 2011 VII, 463 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Mathematik Image processing Mathematics Computer graphics Mathematics Computer vision Mathematics Markov random fields Markov-Feld (DE-588)4391302-7 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Bildverarbeitung (DE-588)4006684-8 s Markov-Feld (DE-588)4391302-7 s 2\p DE-604 Blake, Andrew Sonstige oth Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024966286&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Markov random fields for vision and image processing Mathematik Image processing Mathematics Computer graphics Mathematics Computer vision Mathematics Markov random fields Markov-Feld (DE-588)4391302-7 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
subject_GND | (DE-588)4391302-7 (DE-588)4006684-8 (DE-588)4143413-4 |
title | Markov random fields for vision and image processing |
title_auth | Markov random fields for vision and image processing |
title_exact_search | Markov random fields for vision and image processing |
title_full | Markov random fields for vision and image processing edited by Andrew Blake ... |
title_fullStr | Markov random fields for vision and image processing edited by Andrew Blake ... |
title_full_unstemmed | Markov random fields for vision and image processing edited by Andrew Blake ... |
title_short | Markov random fields for vision and image processing |
title_sort | markov random fields for vision and image processing |
topic | Mathematik Image processing Mathematics Computer graphics Mathematics Computer vision Mathematics Markov random fields Markov-Feld (DE-588)4391302-7 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
topic_facet | Mathematik Image processing Mathematics Computer graphics Mathematics Computer vision Mathematics Markov random fields Markov-Feld Bildverarbeitung Aufsatzsammlung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024966286&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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