Edwin R. Hancock / Marcello Pelillo (eds.)

Energy Minimization Methods in Computer Vision and Pattern Recognition

Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings
Herausgegeben:Hancock, Edwin R.; Pelillo, Marcello

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Produktbeschreibung

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Produktdetails

• Lecture Notes in Computer Science 1654
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 10704012, 978-3-540-66294-5
• 1999.
• Seitenzahl: 348
• Erscheinungstermin: 14. Juli 1999
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 496g
• ISBN-13: 9783540662945
• ISBN-10: 3540662944
• Artikelnr.: 09228048

Inhaltsangabe

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.