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Energy Minimization Methods in Computer Vision and Pattern Recognition

10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Xue-Cheng Tai

    1. Department of Mathematics, University of Bergen, Bergen, Norway

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  2. Egil Bae

    1. Department of Mathematics, University of California, Los Angeles, USA

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  3. Tony F. Chan

    1. The Hong Kong University of Science and Technology, Kowloon, Hong Kong, S.A.R.

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  4. Marius Lysaker

    1. Telemark University College, Porsgrunn, Norway

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8932)

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 2015.

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Table of contents (36 papers)

  1. Front Matter

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  2. Discrete and Continuous Optimization

    1. Convex Envelopes for Low Rank Approximation

      • Viktor Larsson, Carl Olsson
      Pages 1-14

    2. Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts

      • Egil Bae, Xue-Cheng Tai, Jing Yuan
      Pages 15-28

    3. A Compact Linear Programming Relaxation for Binary Sub-modular MRF

      • Junyan Wang, Sai-Kit Yeung
      Pages 29-42

    4. On the Link between Gaussian Homotopy Continuation and Convex Envelopes

      • Hossein Mobahi, John W. Fisher III
      Pages 43-56

    5. How Hard Is the LP Relaxation of the Potts Min-Sum Labeling Problem?

      • Daniel Průša, Tomáš Werner
      Pages 57-70

    6. Coarse-to-Fine Minimization of Some Common Nonconvexities

      • Hossein Mobahi, John W. Fisher III
      Pages 71-84

  3. Image Restoration and Inpainting

    1. Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression?

      • Laurent Hoeltgen, Joachim Weickert
      Pages 85-98

    2. Expected Patch Log Likelihood with a Sparse Prior

      • Jeremias Sulam, Michael Elad
      Pages 99-111

    3. Blind Deconvolution via Lower-Bounded Logarithmic Image Priors

      • Daniele Perrone, Remo Diethelm, Paolo Favaro
      Pages 112-125

    4. Low Rank Priors for Color Image Regularization

      • Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Moeller, Daniel Cremers
      Pages 126-140

    5. A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓp,q,r −norms

      • Joan Duran, Michael Moeller, Catalina Sbert, Daniel Cremers
      Pages 141-154

    6. Inpainting of Cyclic Data Using First and Second Order Differences

      • Ronny Bergmann, Andreas Weinmann
      Pages 155-168

    7. Discrete Green’s Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms

      • Sebastian Hoffmann, Gerlind Plonka, Joachim Weickert
      Pages 169-182

  4. Segmentation

    1. A Fast Projection Method for Connectivity Constraints in Image Segmentation

      • Jan Stühmer, Daniel Cremers
      Pages 183-196

    2. Two-Dimensional Variational Mode Decomposition

      • Konstantin Dragomiretskiy, Dominique Zosso
      Pages 197-208

    3. Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme

      • Huiyi Hu, Justin Sunu, Andrea L. Bertozzi
      Pages 209-222

    4. A Novel Active Contour Model for Texture Segmentation

      • Aditya Tatu, Sumukh Bansal
      Pages 223-236

    5. Segmentation Using SubMarkov Random Walk

      • Xingping Dong, Jianbing Shen, Luc Van Gool
      Pages 237-248

    6. Automatic Shape Constraint Selection Based Object Segmentation

      • Kunqian Li, Wenbing Tao, Xiangli Liao, Liman Liu
      Pages 249-262
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  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

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About this book

This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.

Editors and Affiliations

  • Department of Mathematics, University of Bergen, Bergen, Norway

    Xue-Cheng Tai

  • Department of Mathematics, University of California, Los Angeles, USA

    Egil Bae

  • The Hong Kong University of Science and Technology, Kowloon, Hong Kong, S.A.R.

    Tony F. Chan

  • Telemark University College, Porsgrunn, Norway

    Marius Lysaker

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