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Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] :Second International Workshop, EMMCVPR’99 York, UK, July 26–29, 1999 Proceedings /

Contributor(s): Hancock, Edwin R [editor.] | Pelillo, Marcello [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1654Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1999.Description: X, 338 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540484325.Subject(s): Computer science | Computer logic | Image processing | Pattern recognition | Biomathematics | Statistical physics | Dynamical systems | Computer Science | Pattern Recognition | Image Processing and Computer Vision | Logics and Meanings of Programs | Statistical Physics, Dynamical Systems and Complexity | Mathematical and Computational BiologyOnline resources: Click here to access online
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.
In: Springer eBooks
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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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