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...
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| সংস্থা লেখক: | |
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| অন্যান্য লেখক: | , , |
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| মালা: | Lecture notes in computer science
2134 |
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| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
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, Third International Workshop, EMMCVPR 2001, Sophia Antipolis, France, September 3-5, 2001, proceedings, Mário Figueiredo, Josiane Zerubia, Anil K. Jain (eds.), 2001, New York (N.Y.), Springer, 1 vol. (X-652 p.), Lecture notes in computer science, 3-540-42523-3 • Energy Minimization Methods in Computer Vision and Pattern Recognition, Texte imprimé, 9783662172551 |
সূচিপত্রের সারণি:
- 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
- ADiscrete/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.