Lecture Notes in Computer Science

Energy Minimization Methods in Computer Vision and Pattern Recognition

Third International Workshop, EMMCVPR 2001, Sophia Antipolis France, September 3-5, 2001. Proceedings

Herausgeber: Figueiredo, Mario, Zerubia, Josiane, Jain, Anil K. (Eds.)

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Über dieses Buch

This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2001),whichwasheldatINRIA(InstitutNationaldeRechercheen Informatique et en Automatique) in Sophia Antipolis, France, from September 3 through September 5, 2001. This workshop is the third of a series, which was started with EMMCVPR’97, held in Venice in May 1997, and continued with EMMCVR’99, which took place in York, in July 1999. Minimization problems and optimization methods permeate computer vision (CV), pattern recognition (PR), and many other ?elds of machine intelligence. The aim of the EMMCVPR workshops is to bring together people with research interests in this interdisciplinary topic. Although the subject is traditionally well represented at major international conferences on CV and PR, the EMMCVPR workshops provide a forum where researchers can report their recent work and engage in more informal discussions. We received 70 submissions from 23 countries, which were reviewed by the members of the program committee. Based on the reviews, 24 papers were - cepted for oral presentation and 18 for poster presentation. In this volume, no distinction is made between papers that were presented orally or as posters. The book is organized into ?ve sections, whose topics coincide with the ?ve s- sionsoftheworkshop:“ProbabilisticModelsandEstimation”,“ImageModelling and Synthesis”, “Clustering, Grouping, and Segmentation”, “Optimization and Graphs”, and “Shapes, Curves, Surfaces, and Templates”.

Inhaltsverzeichnis (42 Kapitel)

Inhaltsverzeichnis (42 Kapitel)
  • A Double-Loop Algorithm to Minimize the Bethe Free Energy

    Seiten 3-18

    Yuille, Alan

  • A Variational Approach to Maximum a Posteriori Estimation for Image Denoising

    Seiten 19-34

    Hamza, A. Ben (et al.)

  • Maximum Likelihood Estimation of the Template of a Rigid Moving Object

    Seiten 34-49

    Aguiar, Pedro M. Q. (et al.)

  • Metric Similarities Learning through Examples: An Application to Shape Retrieval

    Seiten 50-62

    Trouvé, Alain (et al.)

  • A Fast MAP Algorithm for 3D Ultrasound

    Seiten 63-74

    Sanches, João M. (et al.)

Dieses Buch kaufen

eBook 96,29 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-540-44745-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 123,04 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-540-42523-6
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Energy Minimization Methods in Computer Vision and Pattern Recognition
Buchuntertitel
Third International Workshop, EMMCVPR 2001, Sophia Antipolis France, September 3-5, 2001. Proceedings
Herausgeber
  • Mario Figueiredo
  • Josiane Zerubia
  • Anil K. Jain
Titel der Buchreihe
Lecture Notes in Computer Science
Buchreihen Band
2134
Copyright
2001
Verlag
Springer-Verlag Berlin Heidelberg
Copyright Inhaber
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-44745-0
DOI
10.1007/3-540-44745-8
Softcover ISBN
978-3-540-42523-6
Buchreihen ISSN
0302-9743
Auflage
1
Seitenzahl
X, 652
Themen