Scale Space and Variational Methods in Computer Vision

Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings

  • Xue-Cheng Tai
  • Knut Mørken
  • Marius Lysaker
  • Knut-Andreas Lie
Conference proceedings SSVM 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5567)

Table of contents

  1. Front Matter
  2. Segmentation and Detection

    1. Fethallah Benmansour, Laurent D. Cohen
      Pages 14-25
    2. Paul Bourgine, Peter Frolkovič, Karol Mikula, Nadine Peyriéras, Mariana Remešíková
      Pages 38-49
    3. Adriano DeCezaro, Antonio Leitão, Xue-Cheng Tai
      Pages 50-62
    4. Elena Franchini, Serena Morigi, Fiorella Sgallari
      Pages 75-86
    5. Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran
      Pages 112-123
    6. Gunnar Läthén, Thord Andersson, Reiner Lenz, Magnus Borga
      Pages 124-136
    7. Francois Lecellier, Stephanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
      Pages 137-149
    8. Jan Lellmann, Jörg Kappes, Jing Yuan, Florian Becker, Christoph Schnörr
      Pages 150-162
    9. Tomoya Sakai, Atsushi Imiya
      Pages 175-186
    10. Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lézoray
      Pages 187-199
    11. Manuel Werlberger, Thomas Pock, Markus Unger, Horst Bischof
      Pages 200-211
  3. Image Enhancement and Reconstruction

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Second International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2009, emanated from the joint edition of the 5th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2009 and the 7th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2009, held in Voss, Norway in June 2009.

The 71 revised full papers presented were carefully reviewed and selected numerous submissions. The papers are organized in topical sections on segmentation and detection; image enhancement and reconstruction; motion analysis, optical flow, registration and tracking; surfaces and shapes; scale space and feature extraction.

Keywords

algorithms anisotropic smoothin computational geometry curvelets dejittering denoising filtering finsler geometry image restoration image segmentation level set segmentation noise removal optical nanoscopy statistics wiener filter

Editors and affiliations

  • Xue-Cheng Tai
    • 1
  • Knut Mørken
    • 2
  • Marius Lysaker
    • 3
  • Knut-Andreas Lie
    • 4
  1. 1.Department of MathematicsUniversity of BergenBergenNorway
  2. 2.Department of Informatics and Centre of Mathematics for ApplicationsUniversity of OsloOsloNorway
  3. 3.Simula Research LaboratoryLysakerNorway
  4. 4.SINTEF ICTOsloNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-02256-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-02255-5
  • Online ISBN 978-3-642-02256-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book