Energy Minimization Methods in Computer Vision and Pattern Recognition Third International Workshop, EMMCVPR 2001, Sophia Antipolis France, September 3-5, 2001. Proceedings /
This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2001),whichwasheldatINRIA(InstitutNationaldeRechercheen Informatique et en Automatique) in Sophia Antipolis, France, from September 3 throug...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2001.
|
| Έκδοση: | 1st ed. 2001. |
| Σειρά: | Lecture Notes in Computer Science,
2134 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Probabilistic Models and Estimation
- A Double-Loop Algorithm to Minimize the Bethe Free Energy
- A Variational Approach to Maximum a Posteriori Estimation for Image Denoising
- Maximum Likelihood Estimation of the Template of a Rigid Moving Object
- Metric Similarities Learning through Examples: An Application to Shape Retrieval
- A Fast MAP Algorithm for 3D Ultrasound
- Designing the Minimal Structure of Hidden Markov Model by Bisimulation
- Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields
- Matching Images to Models - Camera Calibration for 3-D Surface Reconstruction
- A Hierarchical Markov Random Field Model for Figure-Ground Segregation
- Articulated Object Tracking via a Genetic Algorithm
- Image Modelling and Synthesis
- Learning Matrix Space Image Representations
- Supervised Texture Segmentation by Maximising Conditional Likelihood
- Designing Moiré Patterns
- Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods
- Illumination Invariant Recognition of Color Texture Using Correlation and Covariance Functions
- Clustering, Grouping, and Segmentation
- Path Based Pairwise Data Clustering with Application to Texture Segmentation
- A Maximum Likelihood Framework for Grouping and Segmentation
- Image Labeling and Grouping by Minimizing Linear Functionals over Cones
- Grouping with Directed Relationships
- Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
- Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing
- Edge Based Probabilistic Relaxation for Sub-pixel Contour Extraction
- Two Variational Models for Multispectral Image Classification
- Optimization and Graphs
- An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
- A Discrete/Continuous Minimization Method in Interferometric Image Processing
- Global Energy Minimization: A Transformation Approach
- Global Feedforward Neural Network Learning for Classification and Regression
- Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics
- Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling
- Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
- A Complementary Pivoting Approach to Graph Matching
- Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System
- Shapes, Curves, Surfaces, and Templates
- A Markov Process Using Curvature for Filtering Curve Images
- Geodesic Interpolating Splines
- Averaged Template Matching Equations
- A Continuous Shape Descriptor by Orientation Diffusion
- Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths
- Shape Tracking Using Centroid-Based Methods
- Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization
- Spherical Object Reconstruction Using Star-Shaped Simplex Meshes
- Gabor Feature Space Diffusion via the Minimal Weighted Area Method
- 3D Flux Maximizing Flows.
