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  • Conference proceedings
  • © 2005

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 info: EMMCVPR 2005.

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Table of contents (42 papers)

  1. Front Matter

  2. Probabilistic and Informational Approaches

    1. Front Matter

      Pages 1-1
    2. 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
    3. Concurrent Stereo Matching: An Image Noise-Driven Model

      • John Morris, Georgy Gimel’farb, Jiang Liu, Patrice Delmas
      Pages 46-59
    4. Color Correction of Underwater Images for Aquatic Robot Inspection

      • Luz A. Torres-Méndez, Gregory Dudek
      Pages 60-73
    5. Bayesian Image Segmentation Using Gaussian Field Priors

      • Mário A. T. Figueiredo
      Pages 74-89
    6. Handling Missing Data in the Computation of 3D Affine Transformations

      • Hanna Martinsson, Adrien Bartoli, François Gaspard, Jean-Marc Lavest
      Pages 90-106
    7. Maximum-Likelihood Estimation of Biological Growth Variables

      • Anuj Srivastava, Sanjay Saini, Zhaohua Ding, Ulf Grenander
      Pages 107-118
    8. Deformable-Model Based Textured Object Segmentation

      • Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris Metaxas
      Pages 119-135
  3. Combinatorial Approaches

    1. Front Matter

      Pages 169-169
    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

Other Volumes

  1. Energy Minimization Methods in Computer Vision and Pattern Recognition

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

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access