Energy minimization methods in computer vision and pattern recognition : Second International Workshop EMMCVPR '99, York, UK, July 26-29, 1999 : proceedings

書誌事項

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.)

(Lecture notes in computer science, 1654)

Springer, c1999

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

C 2 - E C - (EC '99) , $ % & , E , % 26 29, 1999. + . + 1997. + % % - , , , , % . A % % , - , , ? % % % % . 35 % . E % % . B % - 17 % . % . + , - , , , , , . % % . F , ? % . F, % % . % % % : . C , . D ,;. D, F. F , <. < , E. = ,. = , >. . A . ? % A% % @ - >; C @ . A & % % % ?- @ - F . % B . 1999 E Program Co Chairs E . UniversityofYork,UK UniversityofVenice,Italy Program Committee B INRIA,France B UniversityofBonn,Germany F InstitutoSuperiorTecnico,Portugal D < NewYorkUniversity,USA A . MichiganStateUniversity,USA % UniversityofSurrey,UK @ . > NanyangTechnologicalUniversity,Singapore UniversityofSurrey,UK A YaleUniversity,USA @ McGillUniversity,Canada @ $ TheWeizmannInstituteofScience,Israel > UniversityofNewMexico,USA A >. & Smith KettlewellEyeResearchInstitute,USA INRIA,France @ . YaleUniversity,USA

目次

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.

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