2. EMMCVPR 1999: York, UK

Edwin R. Hancock, Marcello Pelillo (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition, Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings. Lecture Notes in Computer Science 1654 Springer 1999, ISBN 3-540-66294-4

@proceedings{DBLP:conf/emmcvpr/1999,
  editor    = {Edwin R. Hancock and
               Marcello Pelillo},
  title     = {Energy Minimization Methods in Computer Vision and Pattern Recognition,
               Second International Workshop, EMMCVPR'99, York, UK, July 26-29,
               1999, Proceedings},
  booktitle = {EMMCVPR},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1654},
  year      = {1999},
  isbn      = {3-540-66294-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Shape

Kaleem Siddiqi, Allen Tannenbaum, Steven W. Zucker: A Hamiltonian Approach to the Eikonal Equation. 1-13
Philip L. Worthington, Edwin R. Hancock: Topographic Surface Structure from 2D Images Using Shape-from-Shading. 14-29
Dongmei Zhang, Martial Hebert: Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization. 30-43
Pietro Donatini, Patrizio Frosini, Claudia Landi: Deformation Energy for Size Functions. 44-53

Minimum Description Length

Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain: On Fitting Mixture Models. 54-69
Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo: Bayesian Models for Finding and Grouping Junctions. 70-82

Markov Random Fields

Annabelle Chardin, Patrick Pérez: Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis. 83-98
Xavier Descombes, Eugène Pechersky: Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models. 99-114
André Jalobeanu, Laure Blanc-Féraud, Josiane Zerubia: Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method. 115-130
Robin D. Morris: Auxiliary Variables for Markov Random Fields with Higher Order Interactions. 131-141
Philippe Rostaing, Jean-Noël Provost, Christophe Collet: Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model. 142-156

Contours

José M. B. Dias: Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach. 157-172
Toshiro Kubota: Adaptive Pixel-Based Data Fusion for Boundary Detection. 173-188

Search and Consistent Labeling

James M. Coughlan, Alan L. Yuille: Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking. 189-204
Yuri Boykov, Olga Veksler, Ramin Zabih: A New Algorithm for Energy Minimization with Discontinuities. 205-220
Andrew D. J. Cross, Edwin R. Hancock: Convergence of a Hill Climbing Genetic Algorithm for Graph Matching. 221-236
Anand Rangarajan, Haili Chui, Eric Mjolsness: A New Distance Measure for Non-rigid Image Matching. 237-252
Andrea Torsello, Marcello Pelillo: Continuous-Time Relaxation Labeling Processes. 253-268

Tracking and Video

Lijun Yin, Anup Basu: Realistic Animation Using Extended Adaptive Mesh for Model Based Coding. 269-284
Pedro M. Q. Aguiar, José M. F. Moura: Maximum Likelihood Inference of 3D Structure from Image Sequences. 285-300

Biomedical Applications

Jonathan Oakley, John Missimer, Gábor Székely: Magnetic Resonance Imaging Based Correction and Reconstruction of Positron Emission Tomography Images. 301-316
Markus Svensén, Frithjof Kruggel, D. Yves von Cramon: Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm. 317-330