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Energy Minimization Methods in Computer Vision and Pattern Recognition 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Rangarajan, Anand (Editor ), Vemuri, Baba (Editor ), Yuille, Alan L. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3757
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Energy Minimization Methods in Computer Vision and Pattern Recognition  |h [electronic resource] :  |b 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings /  |c edited by Anand Rangarajan, Baba Vemuri, Alan L. Yuille. 
250 |a 1st ed. 2005. 
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490 1 |a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;  |v 3757 
505 0 |a Probabilistic and Informational Approaches -- Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application -- A Computational Approach to Fisher Information Geometry with Applications to Image Analysis -- Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering -- Concurrent Stereo Matching: An Image Noise-Driven Model -- Color Correction of Underwater Images for Aquatic Robot Inspection -- Bayesian Image Segmentation Using Gaussian Field Priors -- Handling Missing Data in the Computation of 3D Affine Transformations -- Maximum-Likelihood Estimation of Biological Growth Variables -- Deformable-Model Based Textured Object Segmentation -- Total Variation Minimization and a Class of Binary MRF Models -- Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study -- Combinatorial Approaches -- Probabilistic Subgraph Matching Based on Convex Relaxation -- Relaxation of Hard Classification Targets for LSE Minimization -- Linear Programming Matching and Appearance-Adaptive Object Tracking -- Extraction of Layers of Similar Motion Through Combinatorial Techniques -- Object Categorization by Compositional Graphical Models -- Learning Hierarchical Shape Models from Examples -- Discontinuity Preserving Phase Unwrapping Using Graph Cuts -- Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra -- Spatio-temporal Segmentation Using Dominant Sets -- Stable Bounded Canonical Sets and Image Matching -- Coined Quantum Walks Lift the Cospectrality of Graphs and Trees -- Variational Approaches -- Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme -- Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes -- An Adaptive Variational Model for Image Decomposition -- Segmentation Informed by Manifold Learning -- One-Shot Integral Invariant Shape Priors for Variational Segmentation -- Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers -- Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach -- Constrained Total Variation Minimization and Application in Computerized Tomography -- Some New Results on Non-rigid Correspondence and Classification of Curves -- Edge Strength Functions as Shape Priors in Image Segmentation -- Spatio-temporal Prior Shape Constraint for Level Set Segmentation -- A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images -- Other Approaches and Applications -- Increasing Efficiency of SVM by Adaptively Penalizing Outliers -- Locally Linear Isometric Parameterization -- A Constrained Hybrid Optimization Algorithm for Morphable Appearance Models -- Kernel Methods for Nonlinear Discriminative Data Analysis -- Reverse-Convex Programming for Sparse Image Codes -- Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency -- Brain Image Analysis Using Spherical Splines -- High-Order Differential Geometry of Curves for Multiview Reconstruction and Matching. 
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650 0 |a Pattern recognition systems. 
650 0 |a Artificial intelligence. 
650 0 |a Computer graphics. 
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650 1 4 |a Computer Vision. 
650 2 4 |a Automated Pattern Recognition. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Computer Graphics. 
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650 2 4 |a Theory of Computation. 
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700 1 |a Vemuri, Baba.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Yuille, Alan L.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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