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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. Shape, Surface and 3D Problems

    1. Christopher Schroers, David Hafner, Joachim Weickert
      Pages 551-562
    2. Michiel Janssen, Remco Duits, Marcel Breeuwer
      Pages 563-575
    3. Patrik Daniel, Matej Medl’a, Karol Mikula, Mariana Remešíková
      Pages 589-600
    4. Daniel Tenbrinck, François Lozes, Abderrahim Elmoataz
      Pages 601-612
    5. E. J. Bekkers, R. Duits, A. Mashtakov, G. R. Sanguinetti
      Pages 613-625
  2. Optimization Theory and Methods in Imaging

    1. Front Matter
      Pages 627-627
    2. Bernhard Schmitzer
      Pages 629-641
    3. Jingwei Liang, Jalal Fadili, Gabriel Peyré, Russell Luke
      Pages 642-653
    4. Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
      Pages 654-665
    5. Alessandro Lanza, Serena Morigi, Fiorella Sgallari
      Pages 666-677
    6. Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem
      Pages 678-689
    7. Konstantinos Papafitsoros, Tuomo Valkonen
      Pages 702-714
  3. Back Matter
    Pages 715-716

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