Energy minimization methods in computer vision and pattern recognition
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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:
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