Energy minimization methods in computer vision and pattern recognition : Second International Workshop, EMMCVPR 99 York, UK, July 26 29, 1999 : proceedings
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| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in computer science
1654 |
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Energy minimization methods in computer vision and pattern recognition, Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, proceedings, Edwin R. Hancock, Marcello Pelillo, (eds.), 1999, Berlin, Springer, 1 vol. (IX-330 p.), Lecture notes in computer science, 3-540-66294-4 • Energy Minimization Methods in Computer Vision and Pattern Recognition, Texte imprimé, 9783662182376 |
Table des matières:
- 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.

