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:
Computer vision.
Pattern recognition systems.
Artificial intelligence.
Computer graphics.
Algorithms.
Computer science.
Computer Vision.
Automated Pattern Recognition.
Artificial Intelligence.
Computer Graphics.
Theory of Computation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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