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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

Author: Edwin R Hancock; Marcello Pelillo
Publisher: Berlin ; New York : Springer, ©1999.
Series: Lecture notes in computer science, 1654.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This volume covers the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, held in York in July 1999. It includes sections on minimum description  Read more...

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Genre/Form: Conference papers and proceedings
Congresses
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Edwin R Hancock; Marcello Pelillo
ISBN: 3540662944 9783540662945
OCLC Number: 41944748
Description: ix, 330 pages : illustrations ; 23 cm.
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.
Series Title: Lecture notes in computer science, 1654.
Responsibility: Edwin R. Hancock, Marcello Pelillo (eds.).
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