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Energy Minimization Methods in Computer Vision and Pattern Recognition

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

  • Conference proceedings
  • © 2009

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Overview

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)

Included in the following conference series:

Conference proceedings info: EMMCVPR 2009.

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Keywords

Table of contents (36 papers)

  1. Front Matter

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  2. Discrete Optimization and Markov Random Fields

    1. Multi-label Moves for MRFs with Truncated Convex Priors

      • Olga Veksler
      Pages 1-13
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    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
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    3. Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation

      • Egil Bae, Xue-Cheng Tai
      Pages 28-41
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    4. Bipartite Graph Matching Computation on GPU

      • Cristina Nader Vasconcelos, Bodo Rosenhahn
      Pages 42-55
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    5. Pose-Invariant Face Matching Using MRF Energy Minimization Framework

      • Shervin Rahimzadeh Arashloo, Josef Kittler
      Pages 56-69
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    6. Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction

      • Ying Liu, Paul Fieguth
      Pages 70-83
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    7. General Search Algorithms for Energy Minimization Problems

      • Dmitrij Schlesinger
      Pages 84-97
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  3. Partial Differential Equations

    1. Complex Diffusion on Scalar and Vector Valued Image Graphs

      • Dohyung Seo, Baba C. Vemuri
      Pages 98-111
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    2. A PDE Approach to Coupled Super-Resolution with Non-parametric Motion

      • Mehran Ebrahimi, Anne L. Martel
      Pages 112-125
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    3. On a Decomposition Model for Optical Flow

      • Jochen Abhau, Zakaria Belhachmi, Otmar Scherzer
      Pages 126-139
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    4. A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis

      • Anand Rangarajan, Karthik S. Gurumoorthy
      Pages 140-153
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    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
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    6. A Local Normal-Based Region Term for Active Contours

      • Julien Mille, Laurent D. Cohen
      Pages 168-181
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  4. Segmentation and Tracking

    1. Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels

      • Andrea Torsello, Marcello Pelillo
      Pages 182-192
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    2. Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV

      • Markus Unger, Thomas Mauthner, Thomas Pock, Horst Bischof
      Pages 193-206
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    3. Complementary Optic Flow

      • Henning Zimmer, Andrés Bruhn, Joachim Weickert, Levi Valgaerts, Agustín Salgado, Bodo Rosenhahn et al.
      Pages 207-220
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    4. Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images

      • Florent Chatelain, Xavier Descombes, Josiane Zerubia
      Pages 221-234
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    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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    6. Robust Segmentation by Cutting across a Stack of Gamma Transformed Images

      • Elena Bernardis, Stella X. Yu
      Pages 249-260
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Other volumes

  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

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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