top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Energy minimization methods in computer vision and pattern recognition : second International Workshop, EMMCVPR '99, York, UK, July 26-29, 1999 ; proceeding / / Edwin R. Hancock, Marcello Pelillo, editors
Energy minimization methods in computer vision and pattern recognition : second International Workshop, EMMCVPR '99, York, UK, July 26-29, 1999 ; proceeding / / Edwin R. Hancock, Marcello Pelillo, editors
Edizione [1st ed. 1999.]
Pubbl/distr/stampa Berlin ; ; Heidelberg : , : Springer Verlag, , [1999]
Descrizione fisica 1 online resource (X, 338 p.)
Disciplina 006.37
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Pattern recognition systems
ISBN 3-540-48432-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910143451603321
Berlin ; ; Heidelberg : , : Springer Verlag, , [1999]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy minimization methods in computer vision and pattern recognition : second International Workshop, EMMCVPR '99, York, UK, July 26-29, 1999 ; proceeding / / Edwin R. Hancock, Marcello Pelillo, editors
Energy minimization methods in computer vision and pattern recognition : second International Workshop, EMMCVPR '99, York, UK, July 26-29, 1999 ; proceeding / / Edwin R. Hancock, Marcello Pelillo, editors
Edizione [1st ed. 1999.]
Pubbl/distr/stampa Berlin ; ; Heidelberg : , : Springer Verlag, , [1999]
Descrizione fisica 1 online resource (X, 338 p.)
Disciplina 006.37
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Pattern recognition systems
ISBN 3-540-48432-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996465627103316
Berlin ; ; Heidelberg : , : Springer Verlag, , [1999]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui