Image Processing, Computer Vision, Pattern Recognition, and Graphics

Efficient Algorithms for Global Optimization Methods in Computer Vision

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

Editors: Bruhn, Andrés, Pock, Thomas, Tai, Xue-Cheng (Eds.)

  • 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
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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.

Table of contents (8 chapters)

  • Dense Elastic 3D Shape Matching

    Schmidt, Frank R. (et al.)

    Pages 1-18

  • Fast Regularization of Matrix-Valued Images

    Rosman, Guy (et al.)

    Pages 19-43

  • Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty

    Bredies, Kristian

    Pages 44-77

  • Half-Quadratic Algorithm for $$\ell _p$$ - $$\ell _q$$ Problems with Applications to TV- $$\ell _1$$ Image Restoration and Compressive Sensing

    Chan, Raymond H. (et al.)

    Pages 78-103

  • A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method

    Zhu, Wei (et al.)

    Pages 104-118

Buy this book

eBook $44.99
price for USA (gross)
  • ISBN 978-3-642-54774-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $60.00
price for USA
  • ISBN 978-3-642-54773-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Efficient Algorithms for Global Optimization Methods in Computer Vision
Book Subtitle
International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers
Editors
  • Andrés Bruhn
  • Thomas Pock
  • Xue-Cheng Tai
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
8293
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-54774-4
DOI
10.1007/978-3-642-54774-4
Softcover ISBN
978-3-642-54773-7
Edition Number
1
Number of Pages
VII, 175
Number of Illustrations and Tables
128 b/w illustrations
Topics