Energy Minimization Methods in Computer Vision and Pattern Recognition

Second International Workshop, EMMCVPR’99 York, UK, July 26–29, 1999 Proceedings

  • Edwin R. Hancock
  • Marcello Pelillo
Conference proceedings EMMCVPR 1999

DOI: 10.1007/3-540-48432-9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1654)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Shape

    1. Kaleem Siddiqi, Allen Tannenbaum, Steven W. Zucker
      Pages 1-13
    2. Philip L. Worthington, Edwin R. Hancock
      Pages 14-30
    3. Pietro Donatini, Patrizio Frosini, Claudia Landi
      Pages 44-53
  3. Minimum Description Length

    1. Málrio A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
      Pages 54-69
    2. M. A. Cazorla, F. Escolano, D. Gallardo, R. Rizo
      Pages 70-82
  4. Markov Random Fields

  5. Contours

  6. Search and Consistent Labeling

    1. Yuri Boykov, Olga Veksler, Ramin Zabih
      Pages 205-220
    2. Andrew D. J. Cross, Edwin R. Hancock
      Pages 221-236
    3. Anand Rangarajan, Haili Chui, Eric Mjolsness
      Pages 237-252
    4. Andrea Torsello, Marcello Pelillo
      Pages 253-269
  7. Tracking and Video

About these proceedings

Keywords

3D Animation Biomathematics Computer Vision Energy Minimization Image segmentation Markov Random Field Markov Random Fields Pattern Recognition Shading algorithm algorithms genetic algorithms image analysis image restoration

Editors and affiliations

  • Edwin R. Hancock
    • 1
  • Marcello Pelillo
    • 2
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK
  2. 2.Dipartimento di InformaticaUniversità Ca’ Foscari di VeneziaVenezia MestreItaly

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66294-5
  • Online ISBN 978-3-540-48432-5
  • Series Print ISSN 0302-9743