Energy Minimization Methods in Computer Vision and Pattern Recognition: International Workshop EMMCVPR'97 Venice, Italy, May 21–23, 1997 Proceedings

✍ Scribed by Douglas A. Miller, Steven W. Zucker (auth.), Marcello Pelillo, Edwin R. Hancock (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1997
• Tongue: English
• Leaves: 557
• Series: Lecture Notes in Computer Science 1223
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997.
The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.

✦ Table of Contents

Reliable computation and related games....Pages 1-18
Characterizing the distribution of completion shapes with corners using a mixture of random processes....Pages 19-34
Adaptive parametrically deformable contours....Pages 35-50
Kona: A multi-junction detector using minimum description length principle....Pages 51-65
Restoration of SAR images using recovery of discontinuities and non-linear optimization....Pages 67-82
Geometrically deformable templates for shape-based segmentation and tracking in cardiac MR images....Pages 83-98
Image segmentation via energy minimization on partitions with connected components....Pages 99-116
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound gauss Markov random fields....Pages 117-132
Maximum likelihood estimation of Markov Random Field parameters using Markov Chain Monte Carlo algorithms....Pages 133-148
Noniterative manipulation of discrete energy-based models for image analysis....Pages 149-164
Unsupervised image segmentation using Markov Random Field models....Pages 165-178
Adaptive anisotropic parameter estimation in the weak membrane model....Pages 179-194
Twenty questions, focus of attention, and A * : A theoretical comparison of optimization strategies....Pages 195-212
Deterministic annealing for unsupervised texture segmentation....Pages 213-228
Self annealing: Unifying deterministic annealing and relaxation labeling....Pages 229-244
Multidimensional scaling by deterministic annealing....Pages 245-260
Deterministic search strategies for relational graph matching....Pages 261-275
Object localization using color, texture and shape....Pages 277-294
Visual deconstruction: Recognizing articulated objects....Pages 295-309
Optimization problems in statistical object recognition....Pages 311-326
Object recognition using stochastic optimization....Pages 327-344
Genetic algorithms for ambiguous labelling problems....Pages 345-360
Toward global solution to MAP image estimation: Using Common structure of local solutions....Pages 361-374
Figure-ground separation: A case study in energy minimization via evolutionary computing....Pages 375-390
Probabilistic relaxation: Potential, relationships and open problems....Pages 391-408
A region-level motion-based graph representation and labeling for tracking a spatial image partition....Pages 409-424
An expectation-maximisation approach to graph matching....Pages 425-439
An energy minimization method for matching and comparing structured object representations....Pages 441-456
Consistent modeling of terrain and drainage using deformable models....Pages 457-474
Integration of confidence information by Markov Random Fields for reconstruction of underwater 3D acoustic images....Pages 475-490
Unsupervised segmentation applied on sonar images....Pages 491-506
SAR image registration and segmentation using an estimated DEM....Pages 507-520
Deformable templates for tracking and analysis of intravascular ultrasound sequences....Pages 521-534
Motion correspondence through energy minimization....Pages 535-548

✦ Subjects

Pattern Recognition; Artificial Intelligence (incl. Robotics); Computer Graphics; Algorithm Analysis and Problem Complexity; Computation by Abstract Devices