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