Scale Space and Variational Methods in Computer Vision

Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 – June 2, 2011, Revised Selected Papers

  • Alfred M. Bruckstein
  • Bart M. ter Haar Romeny
  • Alexander M. Bronstein
  • Michael M. Bronstein

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6667)

Table of contents

  1. Front Matter
  2. Denoising and Enhancement (O1 and O5)

    1. Remco Duits, Tom C. J. Dela Haije, Arpan Ghosh, Eric Creusen, Anna Vilanova, Bart ter Haar Romeny
      Pages 1-13
    2. Eric J. Creusen, Remco Duits, Tom C. J. Dela Haije
      Pages 14-25
    3. Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Daniel Johannsen, Frank Neumann et al.
      Pages 26-37
    4. Serena Morigi, Marco Rucci, Fiorella Sgallari
      Pages 38-49
    5. Tanja Teuber, Annika Lang
      Pages 50-61
    6. Andreas Schwarzkopf, Thomas Kalbe, Chandrajit Bajaj, Arjan Kuijper, Michael Goesele
      Pages 62-73
    7. Klaus Frick, Philipp Marnitz
      Pages 74-85
    8. Raymond Chan, Mila Nikolova, You-Wei Wen
      Pages 86-97
    9. Sebastian Bauer, Benjamin Berkels, Joachim Hornegger, Martin Rumpf
      Pages 98-109
    10. Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov
      Pages 122-133
    11. Aaron Wetzler, Ron Kimmel
      Pages 134-143
    12. Yuping Duan, Yu Wang, Xue-Cheng Tai, Jooyoung Hahn
      Pages 144-156
    13. Iftach Klapp, Nir Sochen, David Mendlovic
      Pages 157-168
    14. Jooyoung Hahn, Ginmo J. Chung, Yu Wang, Xue-Cheng Tai
      Pages 169-182
    15. Nir Sochen, Leah Bar
      Pages 183-193
    16. Daniele Bertaccini, Raymond H. Chan, Serena Morigi, Fiorella Sgallari
      Pages 194-205
    17. Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
      Pages 206-217
    18. Jun Liu, Xue-cheng Tai, Haiyang Huang, Zhongdan Huan
      Pages 218-230

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011.
The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.


bayesian inference constrained statistical optimization differential geometry linear programming variational methods

Editors and affiliations

  • Alfred M. Bruckstein
    • 1
  • Bart M. ter Haar Romeny
    • 2
  • Alexander M. Bronstein
    • 3
  • Michael M. Bronstein
    • 4
  1. 1.Computer Science DepartmentTechnion — Israel Institute of TechnologyHaifaIsrael
  2. 2.Department of Biomedical Engineering, Biomedical Image Analysis and InterpretationEindhoven University of TechnologyEindhovenThe Netherlands
  3. 3.Faculaty of Engineering, School of Electrical EngineeringTel Aviv UniversityIsrael
  4. 4.Institute of Computationa Science, Faculty of Informatics SI-109Università della Svizzera ItalianaLuganoSwitzerland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-24784-2
  • Online ISBN 978-3-642-24785-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book