Skip to main content
SpringerLink
Log in
Book cover

Efficient Algorithms for Global Optimization Methods in Computer Vision

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Andrés Bruhn

    1. University of Stuttgart, Stuttgart, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Thomas Pock

    1. Graz University of Technology, Graz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Xue-Cheng Tai

    1. University of Bergen, Bergen, Norway

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Discusses recent advances and challenges in the design and the solution of global optimization methods applied in computer vision for fundamental problems such as stereo reconstruction, image restoration, and object segmentation
  • Interdisciplinary set of authors, including researchers from mathematics and computer science
  • The contributions in this volume reflect the state of the art in the field
  • Includes supplementary material: sn.pub/extras

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 papers)

  1. Front Matter

    Pages I-VII
    Download chapter 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
    Download chapter PDF
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • University of Stuttgart, Stuttgart, Germany

    Andrés Bruhn

  • Graz University of Technology, Graz, Austria

    Thomas Pock

  • University of Bergen, Bergen, Norway

    Xue-Cheng Tai

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation