Energy Minimization Methods in Computer Vision and Pattern Recognition : Third International Workshop, EMMCVPR 2001, Sophia Antipolis, France, September 3-5, 2001: Proceedings - Mario Figueiredo

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Energy Minimization Methods in Computer Vision and Pattern Recognition

Third International Workshop, EMMCVPR 2001, Sophia Antipolis, France, September 3-5, 2001: Proceedings

By: Mario Figueiredo (Editor), Josiane Zerubia (Editor), Anil K. Jain (Editor)

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Paperback | 1 October 2001

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This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2001),whichwasheldatINRIA(InstitutNationaldeRechercheen Informatique et en Automatique) in Sophia Antipolis, France, from September 3 through September 5, 2001. This workshop is the third of a series, which was started with EMMCVPR'97, held in Venice in May 1997, and continued with EMMCVR'99, which took place in York, in July 1999. Minimization problems and optimization methods permeate computer vision (CV), pattern recognition (PR), and many other ?elds of machine intelligence. The aim of the EMMCVPR workshops is to bring together people with research interests in this interdisciplinary topic. Although the subject is traditionally well represented at major international conferences on CV and PR, the EMMCVPR workshops provide a forum where researchers can report their recent work and engage in more informal discussions. We received 70 submissions from 23 countries, which were reviewed by the members of the program committee. Based on the reviews, 24 papers were - cepted for oral presentation and 18 for poster presentation. In this volume, no distinction is made between papers that were presented orally or as posters. The book is organized into ?ve sections, whose topics coincide with the ?ve s- sionsoftheworkshop:"ProbabilisticModelsandEstimation","ImageModelling and Synthesis", "Clustering, Grouping, and Segmentation", "Optimization and Graphs", and "Shapes, Curves, Surfaces, and Templates".

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Medicine Medicine in General Pattern Recognition Computer Programming & Software Development Algorithms & Data Structures Graphical & Digital Media Applications Databases

Data Capture & Analysis Image Processing

A Double-Loop Algorithm to Minimize to Bethe Free Energy	p. 3
A Variational Approach to Maximum a Posteriori Estimation for Image Denoising	p. 19
Maximum Likelihood Estimation of the Template of a Rigid Moving Object	p. 34
Metric Similarities Learning through Examples: An Application to Shape Retrieval	p. 50
A Fast MAP Algorithm for 3D Ultrasound	p. 63
Designing the Minimal Structure of Hidden Markov Model by Bisimulation	p. 75
Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields	p. 91
Matching Images to Models - Camera Calibration for 3-D Surface Reconstruction	p. 105
A Hierarchical Markov Random Field Model for Figure-Ground Segregation	p. 118
Articulated Object Tracking via a Genetic Algorithm	p. 134
Learning Matrix Space Image Representations	p. 153
Supervised Texture Segmentation by Maximising Conditional Likelihood	p. 169
Designing Moire Patterns	p. 185
Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods	p. 201
Illumination Invariant Recognition of Color Texture Using Correlation and Covariance Functions	p. 216
Path Based Pairwise Data Clustering with Application to Texture Segmentation	p. 235
A Maximum Likelihood Framework for Grouping and Segmentation	p. 251
Image Labeling and Grouping by Minimizing Linear Functionals over Cones	p. 267
Grouping with Directed Relationships	p. 283
Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model	p. 298
Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing	p. 314
Edge Based Probabilistic Relaxation for Sub-pixel Contour Extraction	p. 328
Two Variational Models for Multispectral Image Classification	p. 344
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision	p. 359
A Discrete/Continuous Minimization Method in Interferometric Image Processing	p. 375
Global Energy Minimization: A Transformation Approach	p. 391
Global Feedforward Neural Network Learning for Classification and Regression	p. 407
Matching Free-Trees, Maximal Cliques, and Monotone Game Dynamics	p. 423
Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling	p. 438
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems	p. 454
A Complementary Pivoting Approach to Graph Matching	p. 469
Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System	p. 480
A Markov Process Using Curvature for Filtering Curve Images	p. 497
Geodesic Interpolating Splines	p. 513
Averaged Template Matching Equations	p. 528
A Continuous Shape Descriptor by Orientation Diffusion	p. 544
Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths	p. 560
Shape Tracking Using Centroid-Based Methods	p. 576
Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization	p. 592
Spherical Object Reconstruction Using Star-Shaped Simplex Meshes	p. 608
Gabor Feature Space Diffusion via the Minimal Weighted Area Method	p. 621
3D Flux Maximizing Flows	p. 636
Author Index	p. 651
Table of Contents provided by Blackwell. All Rights Reserved.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Third International Workshop, EMMCVPR 2001, Sophia Antipolis, France, September 3-5, 2001: Proceedings

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