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Energy Minimization Methods in Computer Vision and Pattern Recognition

5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Anand Rangarajan

    1. Department of CISE, University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Baba Vemuri

    1. University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Alan L. Yuille

    1. Department of Statistics, University of California, Los Angeles

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3757)

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 2005.

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Table of contents (42 papers)

  1. Front Matter

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  2. Probabilistic and Informational Approaches

    1. Front Matter

      Pages 1-1
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    2. Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application

      • Guillaume Perrin, Xavier Descombes, Josiane Zerubia
      Pages 3-17

    3. A Computational Approach to Fisher Information Geometry with Applications to Image Analysis

      • Washington Mio, Dennis Badlyans, Xiuwen Liu
      Pages 18-33

    4. Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering

      • Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild, Jose C. Principe, Torbjørn Eltoft
      Pages 34-45

    5. Concurrent Stereo Matching: An Image Noise-Driven Model

      • John Morris, Georgy Gimel’farb, Jiang Liu, Patrice Delmas
      Pages 46-59

    6. Color Correction of Underwater Images for Aquatic Robot Inspection

      • Luz A. Torres-Méndez, Gregory Dudek
      Pages 60-73

    7. Bayesian Image Segmentation Using Gaussian Field Priors

      • Mário A. T. Figueiredo
      Pages 74-89

    8. Handling Missing Data in the Computation of 3D Affine Transformations

      • Hanna Martinsson, Adrien Bartoli, François Gaspard, Jean-Marc Lavest
      Pages 90-106

    9. Maximum-Likelihood Estimation of Biological Growth Variables

      • Anuj Srivastava, Sanjay Saini, Zhaohua Ding, Ulf Grenander
      Pages 107-118

    10. Deformable-Model Based Textured Object Segmentation

      • Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris Metaxas
      Pages 119-135

    11. Total Variation Minimization and a Class of Binary MRF Models

      • Antonin Chambolle
      Pages 136-152

    12. Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study

      • Sanjiv Kumar, Jonas August, Martial Hebert
      Pages 153-168

  3. Combinatorial Approaches

    1. Front Matter

      Pages 169-169
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    2. Probabilistic Subgraph Matching Based on Convex Relaxation

      • Christian Schellewald, Christoph Schnörr
      Pages 171-186

    3. Relaxation of Hard Classification Targets for LSE Minimization

      • Kar-Ann Toh, Xudong Jiang, Wei-Yun Yau
      Pages 187-202

    4. Linear Programming Matching and Appearance-Adaptive Object Tracking

      • Hao Jiang, Mark S. Drew, Ze-Nian Li
      Pages 203-219

    5. Extraction of Layers of Similar Motion Through Combinatorial Techniques

      • Romain Dupont, Nikos Paragios, Renaud Keriven, Phillipe Fuchs
      Pages 220-234

    6. Object Categorization by Compositional Graphical Models

      • Björn Ommer, Joachim M. Buhmann
      Pages 235-250

    7. Learning Hierarchical Shape Models from Examples

      • Alex Levinshtein, Cristian Sminchisescu, Sven Dickinson
      Pages 251-267
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Other volumes

  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

Keywords

Editors and Affiliations

  • Department of CISE, University of Florida, Gainesville, USA

    Anand Rangarajan

  • University of Florida, Gainesville, USA

    Baba Vemuri

  • Department of Statistics, University of California, Los Angeles

    Alan L. Yuille

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