Energy Minimization Methods in Computer Vision and Pattern Recognition Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings /
Corporate Author: | |
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1999.
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Edition: | 1st ed. 1999. |
Series: | Lecture Notes in Computer Science,
1654 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Shape
- 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
- Minimum Description Length
- On Fitting Mixture Models
- Bayesian Models for Finding and Grouping Junctions
- Markov Random Fields
- 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
- Contours
- Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
- Adaptive Pixel-Based Data Fusion for Boundary Detection
- Search and Consistent Labeling
- 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
- Tracking and Video
- Realistic Animation Using Extended Adaptive Mesh for Model Based Coding
- Maximum Likelihood Inference of 3D Structure from Image Sequences
- Biomedical Applications
- Magnetic Resonance Imaging Based Correction and Reconstruction of Positron Emission Tomography Images
- Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm4.