Energy Minimization Methods in Computer Vision and Pattern Recognition | 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings

Daniel Cremers (u. a.)

ISBN 10: 3642036406 / ISBN 13: 9783642036408

Published by Springer, 2009

About this Item

Energy Minimization Methods in Computer Vision and Pattern Recognition | 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings | Daniel Cremers (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | Springer | EAN 9783642036408 | Verantwortliche Person für die EU: Lauinger, Sonia, Sonia Lauinger, Lauinger Verlag, Heinrich-Köhler-Platz 8, 76187 Karlsruhe, mail[at]lauinger-verlag[dot]de | Anbieter: preigu.

Seller Inventory # 101506593

Bibliographic Details

• Title: Energy Minimization Methods in Computer Vision and Pattern Recognition | 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings
• Publisher: Springer
• Publication Date: 2009
• Language: English
• ISBN 10: 3642036406
• ISBN 13: 9783642036408
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 28D millimeters 235 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 762 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Overthelastdecades, energyminimizationmethods havebecomeanestablished paradigm to resolve a variety of challenges in the ?elds of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed very l- ited theoretical understanding of the respective methods, most state-of-the-art methods are nowadays based on the concept of computing solutions to a given problem by minimizing respective energies. This volume contains the papers presented at the 7th International Conf- ence on Energy Minimization Methods in Computer Vision and Pattern Rec- nition (EMMCVPR 2009), held at the University of Bonn, Germany, August 24-28, 2009. These papers demonstrate that energy minimization methods have become a mature ?eld of research spanning a broad range of areas from discrete graph theoretic approaches and Markov random ?elds to variational methods and partial di?erential equations. Application areas include image segmentation and tracking, shape optimization and registration, inpainting and image deno- ing, color and texture modeling, statistics and learning. Overall, we received 75 high-quality double-blind submissions. Based on the reviewer recommendations, 36paperswereselectedforpublication,18asoraland18asposterpresentations. Both oral and poster papers were attributed the same number of pages in the conference proceedings. Furthermore, we were delighted that three leading experts from the ?elds of computer vision and energy minimization, namely, Richard Hartley (C- berra, Australia), Joachim Weickert (Saarbruc ] ken, Germany) and Guillermo Sapiro(Minneapolis, USA)agreedtofurtherenrichtheconferencewithinspiring keynote lectures.