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Energy Minimization Methods in Computer Vision and Pattern Recognition

Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Edwin R. Hancock

    1. Department of Computer Science, University of York, York, UK

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  2. Marcello Pelillo

    1. Dipartimento di Informatica, Università Ca’ Foscari di Venezia, Venezia Mestre, Italy

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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 1654)

Included in the following conference series:

Conference proceedings info: EMMCVPR 1999.

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Table of contents (22 papers)

  1. Front Matter

    Pages I-IX
    Download chapter PDF

  2. Shape

    1. A Hamiltonian Approach to the Eikonal Equation

      • Kaleem Siddiqi, Allen Tannenbaum, Steven W. Zucker
      Pages 1-13

    2. Topographic Surface Structure from 2D Images Using Shape-from-Shading

      • Philip L. Worthington, Edwin R. Hancock
      Pages 14-30

    3. Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization

      • Dongmei Zhang, Martial Hebert
      Pages 30-43

    4. Deformation Energy for Size Functions

      • Pietro Donatini, Patrizio Frosini, Claudia Landi
      Pages 44-53

  3. Minimum Description Length

    1. On Fitting Mixture Models

      • Málrio A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
      Pages 54-69

    2. Bayesian Models for Finding and Grouping Junctions

      • M. A. Cazorla, F. Escolano, D. Gallardo, R. Rizo
      Pages 70-82

  4. Markov Random Fields

    1. Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis

      • Annabelle Chardin, Patrick Pérez
      Pages 83-98

    2. Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models

      • Xavier Descombes, Eugène Pechersky
      Pages 99-114

    3. Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method

      • André Jalobeanu, Laure Blanc-Féraud, Josiane Zerubia
      Pages 115-130

    4. Auxiliary Variables for Markov Random Fields with Higher Order Interactions

      • Robin D. Morris
      Pages 131-142

    5. Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model

      • P. Rostaing, J. -N. Provost, C. Collet
      Pages 142-156

  6. Search and Consistent Labeling

    1. Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking

      • James M. Coughlan, A. L. Yuille
      Pages 189-204

    2. A New Algorithm for Energy Minimization with Discontinuities

      • Yuri Boykov, Olga Veksler, Ramin Zabih
      Pages 205-220

    3. Convergence of a Hill Climbing Genetic Algorithm for Graph Matching

      • Andrew D. J. Cross, Edwin R. Hancock
      Pages 221-236

    4. A New Distance Measure for Non-rigid Image Matching

      • Anand Rangarajan, Haili Chui, Eric Mjolsness
      Pages 237-252

    5. Continuous-Time Relaxation Labeling Processes

      • Andrea Torsello, Marcello Pelillo
      Pages 253-269

  7. Tracking and Video

    1. Realistic Animation Using Extended Adaptive Mesh for Model Based Coding

      • Lijun Yin, Anup Basu
      Pages 269-284
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  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

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Editors and Affiliations

  • Department of Computer Science, University of York, York, UK

    Edwin R. Hancock

  • Dipartimento di Informatica, Università Ca’ Foscari di Venezia, Venezia Mestre, Italy

    Marcello Pelillo

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