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Scale Space and Variational Methods in Computer Vision

5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings

  • Jean-François Aujol
  • Mila Nikolova
  • Nicolas Papadakis

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9087)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9087)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Scale Space and Partial Differential Equations Methods

    1. Front Matter
      Pages 1-1
    2. Tony Lindeberg, Anders Friberg
      Pages 3-15
    3. Martin Burger, Lina Eckardt, Guy Gilboa, Michael Moeller
      Pages 16-27
    4. Martin Schmidt, Joachim Weickert
      Pages 28-39
    5. Jorg Portegies, Gonzalo Sanguinetti, Stephan Meesters, Remco Duits
      Pages 40-52
    6. Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
      Pages 66-77
    7. Giovanno Marcelo Cárdenas, Joachim Weickert, Sarah Schäffer
      Pages 103-114
  3. Denoising, Restoration and Reconstruction

    1. Front Matter
      Pages 115-115
    2. Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss
      Pages 117-128
    3. Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
      Pages 129-141
    4. Christoph Brauer, Dirk Lorenz
      Pages 142-153
    5. Pascal Peter, Joachim Weickert
      Pages 154-165
    6. Gonzalo Galiano, Julián Velasco
      Pages 166-177
    7. Rémy Abergel, Cécile Louchet, Lionel Moisan, Tieyong Zeng
      Pages 178-190
    8. Eva-Maria Brinkmann, Martin Burger, Joana Grah
      Pages 191-202
    9. Frank Lenzen, Johannes Berger
      Pages 203-215
    10. Kristian Bredies, Martin Holler
      Pages 216-228
  4. Segmentation and Partitioning

    1. Front Matter
      Pages 229-229
    2. Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
      Pages 231-242
    3. Caner Hazırbaş, Julia Diebold, Daniel Cremers
      Pages 243-255
    4. Julien Rabin, Nicolas Papadakis
      Pages 256-269
    5. Shay Deutsch, Gérard Medioni
      Pages 282-293
    6. Julia Diebold, Nikolaus Demmel, Caner Hazırbaş, Michael Moeller, Daniel Cremers
      Pages 294-306
  5. Flow, Motion and Registration

    1. Front Matter
      Pages 321-321
    2. Denis Fortun, Patrick Bouthemy, Charles Kervrann
      Pages 323-334
    3. Stefan Heldmann, Thomas Polzin, Alexander Derksen, Benjamin Berkels
      Pages 335-347
    4. Solène Ozeré, Carole Le Guyader
      Pages 348-359
    5. Kanglin Chen, Alexander Derksen, Stefan Heldmann, Marc Hallmann, Benjamin Berkels
      Pages 360-371
    6. Alexander Effland, Martin Rumpf, Stefan Simon, Kirsten Stahn, Benedikt Wirth
      Pages 372-384
    7. Frank Balle, Dietmar Eifler, Jan Henrik Fitschen, Sebastian Schuff, Gabriele Steidl
      Pages 385-396
    8. Johannes Berger, Andreas Neufeld, Florian Becker, Frank Lenzen, Christoph Schnörr
      Pages 397-409
  6. Photography, Texture and Color Processing

    1. Front Matter
      Pages 411-411
    2. Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta
      Pages 413-424
    3. David Hafner, Joachim Weickert
      Pages 425-436
    4. Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl
      Pages 437-448
    5. Ali Sharifi Boroujerdi, Michael Breuß, Bernhard Burgeth, Andreas Kleefeld
      Pages 461-473
    6. Lara Raad, Agnès Desolneux, Jean-Michel Morel
      Pages 474-485
  7. Shape, Surface and 3D Problems

    1. Front Matter
      Pages 511-511
    2. Virginia Estellers, Michael Scott, Kevin Tew, Stefano Soatto
      Pages 525-537
    3. Yong Chul Ju, Andrés Bruhn, Michael Breuß
      Pages 538-550

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2015, held in Lège-Cap Ferret, France, in May 2015. The 56 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in the following topical sections: scale space and partial differential equation methods; denoising, restoration and reconstruction, segmentation and partitioning; flow, motion and registration; photography, texture and color processing; shape, surface and 3D problems; and optimization theory and methods in imaging.

Keywords

Computer graphics Computer vision Computer vision problems Contextual enhancement Feature selection Image processing Image segmentation Lie groups Mathematical optimization Minimal surface problem MPEG decompression Nonlinear eigenfunctions Partial differential equations Registration Semantic scene understanding Shape modeling Spectral total variation Surface approximation Texture synthesis Variational methods

Editors and affiliations

  • Jean-François Aujol
    • 1
  • Mila Nikolova
    • 2
  • Nicolas Papadakis
    • 3
  1. 1.University of BordeauxTalenceFrance
  2. 2.ENS CachanCachanFrance
  3. 3.University of BordeauxTalenceFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18461-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-18460-9
  • Online ISBN 978-3-319-18461-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site