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Energy Minimization Methods in Computer Vision and Pattern Recognition

8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011, Proceedings

  • Conference proceedings
  • © 2011

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Editors:
  1. Yuri Boykov

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

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  2. Fredrik Kahl

    1. Centre for Mathematical Sciences, Lund University, Lund, Sweden

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  3. Victor Lempitsky

    1. Department of Science, University of Oxford, Oxford, UK

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  4. Frank R. Schmidt

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6819)

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

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Conference proceedings info: EMMCVPR 2011.

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Table of contents (30 papers)

  1. Front Matter

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  2. Discrete Optimization

    1. A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel

      • Alexander Shekhovtsov, Václav Hlavác̆
      Pages 1-16

    2. Minimizing Count-Based High Order Terms in Markov Random Fields

      • Thomas Schoenemann
      Pages 17-30

    3. Globally Optimal Image Partitioning by Multicuts

      • Jörg Hendrik Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schn
      Pages 31-44

    4. A Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves

      • Anna Jezierska, Hugues Talbot, Olga Veksler, Daniel Wesierski
      Pages 45-58

  3. Continuous Optimization

    1. Temporally Consistent Gradient Domain Video Editing

      • Gabriele Facciolo, Rida Sadek, Aurélie Bugeau, Vicent Caselles
      Pages 59-73

    2. Texture Segmentation via Non-local Non-parametric Active Contours

      • Miyoun Jung, Gabriel Peyré, Laurent D. Cohen
      Pages 74-88

    3. Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization

      • Stefan Schmidt, Bogdan Savchynskyy, Jörg Hendrik Kappes, Christoph Schnörr
      Pages 89-103

    4. Global Relabeling for Continuous Optimization in Binary Image Segmentation

      • Markus Unger, Thomas Pock, Horst Bischof
      Pages 104-117

    5. Stop Condition for Subgradient Minimization in Dual Relaxed (max,+) Problem

      • Michail Schlesinger, Evgeniy Vodolazskiy, Nikolai Lopatka
      Pages 118-131

  4. Segmentation

    1. Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem

      • Jan Lellmann, Frank Lenzen, Christoph Schnörr
      Pages 132-146

    2. Interactive Segmentation with Super-Labels

      • Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov
      Pages 147-162

    3. Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming

      • Thomas Schoenemann, Yubin Kuang, Fredrik Kahl
      Pages 163-176

    4. Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches

      • Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers
      Pages 177-190

    5. Detachable Object Detection with Efficient Model Selection

      • Alper Ayvaci, Stefano Soatto
      Pages 191-204

    6. Curvature Regularization for Curves and Surfaces in a Global Optimization Framework

      • Petter Strandmark, Fredrik Kahl
      Pages 205-218

    7. SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction

      • Björn Scheuermann, Bodo Rosenhahn
      Pages 219-232

    8. Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional

      • Noha El-Zehiry, Leo Grady
      Pages 233-246

    9. Image Segmentation with a Shape Prior Based on Simplified Skeleton

      • Boris Yangel, Dmitry Vetrov
      Pages 247-260

    10. High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery

      • Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou Scheffer, Shan Xu, Harald Hess et al.
      Pages 261-272
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  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

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About this book

This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July , 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continuous optimization, segmentation, motion and video, learning and shape analysis.

Editors and Affiliations

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

    Yuri Boykov, Frank R. Schmidt

  • Centre for Mathematical Sciences, Lund University, Lund, Sweden

    Fredrik Kahl

  • Department of Science, University of Oxford, Oxford, UK

    Victor Lempitsky

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