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Efficient Algorithms for Global Optimization Methods in Computer Vision

International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers

  • Andrés Bruhn
  • Thomas Pock
  • Xue-Cheng Tai

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8293)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8293)

Table of contents

  1. Front Matter
    Pages I-VII
  2. Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers
    Pages 1-18
  3. Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
    Pages 19-43
  4. Michael Hintermüller, Tao Wu
    Pages 119-133
  5. Egil Bae, Jing Yuan, Xue-Cheng Tai, Yuri Boykov
    Pages 134-154
  6. Harald Köstler, Christian Feichtinger, Ulrich Rüde, Takayuki Aoki
    Pages 155-173
  7. Back Matter
    Pages 175-175

About these proceedings

Introduction

  This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.

The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar.
The seminar focused on the entire algorithmic development pipeline for global optimization problems in
computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.

Keywords

algorithms computer vision image processing image representations mathematical analysis

Editors and affiliations

  • Andrés Bruhn
    • 1
  • Thomas Pock
    • 2
  • Xue-Cheng Tai
    • 3
  1. 1.University of StuttgartStuttgartGermany
  2. 2.Graz University of TechnologyGrazAustria
  3. 3.University of BergenBergenNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-54774-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-54773-7
  • Online ISBN 978-3-642-54774-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site