Energy Minimization Methods in Computer Vision and Pattern Recognition

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

  • Mário Figueiredo
  • Josiane Zerubia
  • Anil K. Jain
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2134)

Table of contents

  1. Front Matter
    Pages I-X
  2. Probabilistic Models and Estimation

    1. Pedro M. Q. Aguiar, José M. F. Moura
      Pages 34-49
    2. João M. Sanches, Jorge S. Marques
      Pages 63-74
    3. Manuele Bicego, Agostino Dovier, Vittorio Murino
      Pages 75-90
    4. Andrea Fusiello, Umberto Castellani, Vittorio Murino
      Pages 91-105
    5. Robin D. Morris, Vadim N. Smelyanskiy, Peter C. Cheeseman
      Pages 105-117
    6. Stella X. Yu, Tai Sing Lee, Takeo Kanade
      Pages 118-133
    7. Jairo Rocha, Arnau Mir
      Pages 134-149
  3. Image Modelling and Synthesis

    1. Anand Rangarajan
      Pages 153-168
    2. Guy Lebanon, Alfred M. Bruckstein
      Pages 185-200
    3. Tamás Szirányi, Zoltán Tóth
      Pages 201-215
  4. Clustering, Grouping, and Segmentation

    1. Bernd Fischer, Thomas Zöller, Joachim M. Buhmann
      Pages 235-250
    2. Antonio Robles-Kelly, Edwin R. Hancock
      Pages 251-267
    3. Christian Schellewald, Jens Keuchel, Christoph Schnörr
      Pages 267-282
    4. Stella X. Yu, Jianbo Shi
      Pages 283-297

About these proceedings

Introduction

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”.

Keywords

Computer Vision Energy minimization Markov random fields clustering hidden Markov models image classification modeling neural networks optical flow optimization pattern recognition rendering simulated annealing texture segmentations

Editors and affiliations

  • Mário Figueiredo
    • 1
  • Josiane Zerubia
    • 2
  • Anil K. Jain
    • 3
  1. 1.Instituto de Telecomunicacoes and Instituto Superior TecnicoLisboaPortugal
  2. 2.INRIAFrance
  3. 3.Department of Computer Science and EngineeringMichigan State UniversityEast LansingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-44745-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-42523-6
  • Online ISBN 978-3-540-44745-0
  • Series Print ISSN 0302-9743
  • About this book