3. EMMCVPR 2001: Sophia Antipolis, France

I Probabilistic Models and Estimation

• Alan L. Yuille:
  A Double-Loop Algorithm to Minimize the Bethe Free Energy. 3-18
  
• A. Ben Hamza, Hamid Krim:
  A Variational Approach to Maximum a Posteriori Estimation for Image Denoising. 19-33
  
• Pedro M. Q. Aguiar, José M. F. Moura:
  Maximum Likelihood Estimation of the Template of a Rigid Moving Object. 34-49
  
• Alain Trouvé, Yong Yu:
  Metric Similarities Learning through Examples: An Application to Shape Retrieval. 50-62
  
• João M. Sanches, Jorge S. Marques:
  A Fast MAP Algorithm for 3D Ultrasound. 63-74
  
• Manuele Bicego, Agostino Dovier, Vittorio Murino:
  Designing the Minimal Structure of Hidden Markov Model by Bisimulation. 75-90
  
• Andrea Fusiello, Umberto Castellani, Vittorio Murino:
  Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields. 91-104
  
• Robin D. Morris, Vadim N. Smelyansky, Peter Cheeseman:
  Matching Images to Models - Camera Calibration for 3-D Surface Reconstruction. 105-117
  
• Stella X. Yu, Tai Sing Lee, Takeo Kanade:
  A Hierarchical Markov Random Field Model for Figure-Ground Segregation. 118-133
  
• Jairo Rocha, Arnau Mir:
  Articulated Object Tracking via a Genetic Algorithm. 134-152
  

II Image Modelling and Synthesis

• Anand Rangarajan:
  Learning Matrix Space Image Representations. 153-168
  
• Georgy L. Gimel'farb:
  Supervised Texture Segmentation by Maximising Conditional Likelihood. 169-184
  
• Guy Lebanon, Alfred M. Bruckstein:
  Designing Moiré Patterns. 185-200
  
• Tamás Szirányi, Zoltán Tóth:
  Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods. 201-215
  
• Mohammed Al-Rawi, Jie Yang:
  Illumination Invariant Recognition of Color Texture Using Correlation and Covariance Functions. 216-234
  

III Clustering, Grouping, and Segmentation

• Bernd Fischer, Thomas Zöller, Joachim M. Buhmann:
  Path Based Pairwise Data Clustering with Application to Texture Segmentation. 235-250
  
• Antonio Robles-Kelly, Edwin R. Hancock:
  A Maximum Likelihood Framework for Grouping and Segmentation. 251-266
  
• Christian Schellewald, Jens Keuchel, Christoph Schnörr:
  Image Labeling and Grouping by Minimizing Linear Functionals over Cones. 267-282
  
• Stella X. Yu, Jianbo Shi:
  Grouping with Directed Relationships. 283-297
  
• Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi:
  Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model. 298-313
  
• Paul W. Fieguth, Slawo Wesolkowski:
  Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing. 314-327
  
• Toshiro Kubota, Terrance L. Huntsberger, Jeffrey T. Martin:
  Edge Based Probabilistic Relaxation for Sub-pixel Contour Extraction. 328-343
  
• Christophe Samson, Laure Blanc-Féraud, Gilles Aubert, Josiane Zerubia:
  Two Variational Models for Multispectral Image Classification. 344-358
  

IV Optimization and Graphs

• Yuri Boykov, Vladimir Kolmogorov:
  An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision. 359-374
  
• José M. B. Dias, José M. N. Leitão:
  A Discrete/Continuous Minimization Method in Interferometric Image Processing. 375-390
  
• Kar-Ann Toh:
  Global Energy Minimization: A Transformation Approach. 391-406
  
• Kar-Ann Toh, Juwei Lu, Wei-Yun Yau:
  Global Feedforward Neural Network Learning for Classification and Regression. 407-422
  
• Marcello Pelillo:
  Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics. 423-437
  
• Andrea Torsello, Edwin R. Hancock:
  Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling. 438-453
  
• Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant:
  Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems. 454-468
  
• Alessio Massaro, Marcello Pelillo:
  A Complementary Pivoting Approach to Graph Matching. 469-479
  
• Sanghyuk Woo, Albert Dipanda, Franck Marzani:
  Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System. 480-496
  

V Shapes, Curves, Surfaces, and Templates

• Jonas August, Steven W. Zucker:
  A Markov Process Using Curvature for Filtering Curve Images. 497-512
  
• Vincent Camion, Laurent Younes:
  Geodesic Interpolating Splines. 513-527
  
• Anil N. Hirani, Jerrold E. Marsden, James Arvo:
  Averaged Template Matching Equations. 528-543
  
• Hsing-Kuo Pao, Davi Geiger:
  A Continuous Shape Descriptor by Orientation Diffusion. 544-559
  
• Laurent D. Cohen, Thomas Deschamps:
  Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths. 560-575
  
• Arnaldo J. Abrantes, Jorge S. Marques:
  Shape Tracking Using Centroid-Based Methods. 576-591
  
• Martin Lefébure, Laurent D. Cohen:
  Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization. 592-607
  
• Pavel Matula, David Svoboda:
  Spherical Object Reconstruction Using Star-Shaped Simplex Meshes. 608-620
  
• Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
  Gabor Feature Space Diffusion via the Minimal Weighted Area Method. 621-635
  
• Kaleem Siddiqi, Alexander Vasilevskiy:
  3D Flux Maximizing Flows. 636-650
  

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