Advertisement

© 2014

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
Conference proceedings

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
    PDF
  2. Dense Elastic 3D Shape Matching
    Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers
    Pages 1-18
  3. Fast Regularization of Matrix-Valued Images
    Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
    Pages 19-43
  4. Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty
    Kristian Bredies
    Pages 44-77
  5. Half-Quadratic Algorithm for \(\ell _p\)-\(\ell _q\) Problems with Applications to TV-\(\ell _1\) Image Restoration and Compressive Sensing
    Raymond H. Chan, Hai-Xia Liang
    Pages 78-103
  6. A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method
    Wei Zhu, Xue-Cheng Tai, Tony Chan
    Pages 104-118
  7. A Smoothing Descent Method for Nonconvex TV\(^q\)-Models
    Michael Hintermüller, Tao Wu
    Pages 119-133
  8. A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems
    Egil Bae, Jing Yuan, Xue-Cheng Tai, Yuri Boykov
    Pages 134-154
  9. A Geometric Multigrid Solver on Tsubame 2.0
    Harald Köstler, Christian Feichtinger, Ulrich Rüde, Takayuki Aoki
    Pages 155-173
  10. Back Matter
    Pages 175-175
    PDF

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