Author Description

Energy Minimization Methods in Computer Vision and Pattern Recognition: Second International Workshop, EMMCVPR’99 York, UK, July 26–29, 1999 Proceedings Author: Edwin R. Hancock, Marcello Pelillo Published by Springer Berlin Heidelberg ISBN: 978-3-540-66294-5 DOI: 10.1007/3-540-48432-9 Table of Contents: A Hamiltonian Approach to the Eikonal Equation Topographic Surface Structure from 2D Images Using Shape-from-Shading Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization Deformation Energy for Size Functions On Fitting Mixture Models Bayesian Models for Finding and Grouping Junctions Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method Auxiliary Variables for Markov Random Fields with Higher Order Interactions Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach Adaptive Pixel-Based Data Fusion for Boundary Detection Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking A New Algorithm for Energy Minimization with Discontinuities Convergence of a Hill Climbing Genetic Algorithm for Graph Matching A New Distance Measure for Non-rigid Image Matching Continuous-Time Relaxation Labeling Processes Realistic Animation Using Extended Adaptive Mesh for Model Based Coding Maximum Likelihood Inference of 3D Structure from Image Sequences