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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 / edited by Edwin R. Hancock, Marcello Pelillo.
LIBRA Q341 .P7 2004
Available from offsite location
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science 0302-9743 ; 1654.
- Lecture Notes in Computer Science, 0302-9743 ; 1654
- Language:
- English
- Subjects (All):
- Pattern perception.
- Optical data processing.
- Computer logic.
- Statistical physics.
- Dynamics.
- Biomathematics.
- Pattern Recognition.
- Image Processing and Computer Vision.
- Logics and Meanings of Programs.
- Complex Systems.
- Mathematical and Computational Biology.
- Statistical Physics and Dynamical Systems.
- Local Subjects:
- Pattern Recognition.
- Image Processing and Computer Vision.
- Logics and Meanings of Programs.
- Complex Systems.
- Mathematical and Computational Biology.
- Statistical Physics and Dynamical Systems.
- Physical Description:
- 1 online resource (X, 338 pages).
- Edition:
- First edition 1999.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
- System Details:
- text file PDF
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-48432-5
- 9783540484325
- Access Restriction:
- Restricted for use by site license.
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