Energy Minimization Methods in Computer Vision and Pattern Recognition

1. Front Matter

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2. Medical Imaging

   1. Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation

      • Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios

      Pages 1-11

   2. Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets

      • Jing Yuan, Eranga Ukwatta, Wu Qiu, Martin Rajchl, Yue Sun, Xue-Cheng Tai et al.

      Pages 12-25

3. Image Editing

   1. Linear Osmosis Models for Visual Computing

      • Joachim Weickert, Kai Hagenburg, Michael Breuß, Oliver Vogel

      Pages 26-39

   2. Analysis of Bayesian Blind Deconvolution

      • David Wipf, Haichao Zhang

      Pages 40-53

   3. A Variational Method for Expanding the Bit-Depth of Low Contrast Image

      • Motong Qiao, Wei Wang, Michael K. Ng

      Pages 54-65

4. 3D Reconstruction

   1. Variational Shape from Light Field

      • Stefan Heber, Rene Ranftl, Thomas Pock

      Pages 66-79

   2. Simultaneous Fusion Moves for 3D-Label Stereo

      • Johannes Ulén, Carl Olsson

      Pages 80-93

   3. Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints

      • Thomas Möllenhoff, Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers

      Pages 94-107

5. Shape Matching

   1. Discrete Geodesic Regression in Shape Space

      • Benjamin Berkels, P. Thomas Fletcher, Behrend Heeren, Martin Rumpf, Benedikt Wirth

      Pages 108-122

   2. Object Segmentation by Shape Matching with Wasserstein Modes

      • Bernhard Schmitzer, Christoph Schnörr

      Pages 123-136

   3. Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data

      • Boris Yangel, Dmitry Vetrov

      Pages 137-150

6. Image Restoration

   1. An Optimal Control Approach to Find Sparse Data for Laplace Interpolation

      • Laurent Hoeltgen, Simon Setzer, Joachim Weickert

      Pages 151-164

   2. Curvature Regularization for Resolution-Independent Images

      • John MacCormick, Andrew Fitzgibbon

      Pages 165-179

7. Scene Understanding

   1. PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth

      • Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, Philip H. S. Torr

      Pages 180-194

   2. Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework

      • Brian Taylor, Alper Ayvaci, Avinash Ravichandran, Stefano Soatto

      Pages 195-208

   3. A Co-occurrence Prior for Continuous Multi-label Optimization

      • Mohamed Souiai, Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers

      Pages 209-222

8. Segmentation I

   1. Convex Relaxations for a Generalized Chan-Vese Model

      • Egil Bae, Jan Lellmann, Xue-Cheng Tai

      Pages 223-236

   2. Multiclass Segmentation by Iterated ROF Thresholding

      • Xiaohao Cai, Gabriele Steidl

      Pages 237-250

   3. A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation

      • Jun Liu, Xue-Cheng Tai, Shingyu Leung

      Pages 251-265

This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.

• clustering algorithm
• gradient domain methods
• iterative methods
• spatial regularization
• variational methods
• algorithm analysis and problem complexity

• Centre for Mathematical Sciences, Lund University, Sweden

  Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson

• Dept. of Mathematics, University of Bergen, Bergen, Norway

  Xue-Cheng Tai

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