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  • Conference proceedings
  • © 2009

Energy Minimization Methods in Computer Vision and Pattern Recognition

7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings

Editors:

  1. Daniel Cremers

    1. Institut für Informatik III, Rö, Universität Bonn, Bonn, Germany

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  2. Yuri Boykov

    1. Computer Science Department, University of Western Ontario, London, Canada

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  3. Andrew Blake

    1. Microsoft Research, Cambridge, United Kingdom

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  4. Frank R. Schmidt

    1. Institut für Informatik III, Universität Bonn, Bonn, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5681)

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

Conference series link(s): EMMCVPR: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

Conference proceedings info: EMMCVPR 2009.

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Table of contents (36 papers)

  1. Front Matter

    PDF

  2. Discrete Optimization and Markov Random Fields

    2. Detection and Segmentation of Independently Moving Objects from Dense Scene Flow

      • Andreas Wedel, Annemarie Meißner, Clemens Rabe, Uwe Franke, Daniel Cremers
      Pages 14-27

    4. Bipartite Graph Matching Computation on GPU

      • Cristina Nader Vasconcelos, Bodo Rosenhahn
      Pages 42-55

    5. Pose-Invariant Face Matching Using MRF Energy Minimization Framework

      • Shervin Rahimzadeh Arashloo, Josef Kittler
      Pages 56-69

  3. Partial Differential Equations

    1. Complex Diffusion on Scalar and Vector Valued Image Graphs

      • Dohyung Seo, Baba C. Vemuri
      Pages 98-111

    2. A PDE Approach to Coupled Super-Resolution with Non-parametric Motion

      • Mehran Ebrahimi, Anne L. Martel
      Pages 112-125

    3. On a Decomposition Model for Optical Flow

      • Jochen Abhau, Zakaria Belhachmi, Otmar Scherzer
      Pages 126-139

    5. Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method

      • K. Kashu, Y. Kameda, A. Imiya, T. Sakai, Y. Mochizuki
      Pages 154-167

    6. A Local Normal-Based Region Term for Active Contours

      • Julien Mille, Laurent D. Cohen
      Pages 168-181

  4. Segmentation and Tracking

    2. Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV

      • Markus Unger, Thomas Mauthner, Thomas Pock, Horst Bischof
      Pages 193-206

    3. Complementary Optic Flow

      • Henning Zimmer, Andrés Bruhn, Joachim Weickert, Levi Valgaerts, Agustín Salgado, Bodo Rosenhahn et al.
      Pages 207-220

    5. Three Dimensional Monocular Human Motion Analysis in End-Effector Space

      • Søren Hauberg, Jerome Lapuyade, Morten Engell-Nørregård, Kenny Erleben, Kim Steenstrup Pedersen
      Pages 235-248
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Other Volumes

  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

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Keywords

  • Computer Vision
  • GPU computing
  • energy minimization
  • graph theory
  • image analysis
  • image denoising
  • image registration
  • image segmentation
  • multi-scale
  • optical flow
  • optimization
  • pattern matching
  • pattern recognition
  • remote sensing
  • wireless networks
  • algorithm analysis and problem complexity
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Editors and Affiliations

  • Institut für Informatik III, Rö, Universität Bonn, Bonn, Germany

    Daniel Cremers

  • Computer Science Department, University of Western Ontario, London, Canada

    Yuri Boykov

  • Microsoft Research, Cambridge, United Kingdom

    Andrew Blake

  • Institut für Informatik III, Universität Bonn, Bonn, Germany

    Frank R. Schmidt

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Bibliographic Information

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Access via your institution
eBook USD 89.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-03641-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 119.99
Price excludes VAT (USA)
Learn about institutional subscriptions