Markov Random Fields for Vision and Image Processing

Erscheinungsjahr 2011
ISBN: 978-0-262-01577-6
Verlag: MIT Press Ltd

Buch, Englisch, Format (B × H): 178 mm x 229 mm, Gewicht: 930 g

Reihe: The MIT Press

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.

Autoren/Hrsg.

Blake, Andrew

Kohli, Pushmeet

Rother, Carsten

Weitere Mitwirkende

Blake, Andrew

Kohli, Pushmeet

Boykov, Yuri

Kolmogorov, Vladimir

Veksler, Olga

Zabih, Ramin

Ishikawa, Hiroshi

Yuille, Alan L.

Weiss, Yair

Yanover, Chen

Meltzer, Talya

Rother, Carsten

Singaraju, Dheeraj

Grady, Leo

Sinop, Ali Kemal

Vidal, René

Criminisi, Antonio

Cross, Geoffrey

Freeman, William

Liu, Ce

Szeliski, Richard

Scharstein, Daniel

Agarwala, Aseem

Tappen, Marshall

Cremers, Daniel

Pock, Thomas

Kolev, Kalin

Chambolle, Antonin

Isard, Michael

Szummer, Martin

Hoiem, Derek

Kumar, M. Pawan

Torr, Philip

Komodakis, Nikos

Lempitsky, Victor

Roth, Stefan

Black, Michael J.

Ladicky, Lubor

Vicente, Sara

Sun, Jian

Li, Yin

Kang, Sing Bing

Shum, Heung-Yeung

Winn, John

Shotton, Jamie

Yuen, Jenny

Torralba, Antonio

Rav-Acha, Alex

Fitzgibbon, Andrew

Fachgebiete

• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Über Autor(innen)

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

Yuille, Alan L.
Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.

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

Weiss, Yair
Yair Weiss is Senior Lecturer in the School of Computer Science and Engineering at The Hebrew University of Jerusalem.

Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999. Pushmeet Kohli and Carsten Rother are researchers in the Computer Vision Group at Microsoft Research Cambridge.