Energy Minimization Methods in Computer Vision and Pattern Recognition 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Cremers, Daniel (Editor ), Boykov, Yuri (Editor ), Blake, Andrew (Editor ), Schmidt, Frank R. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 5681
Temas:
Computer vision.
Pattern recognition systems.
Computers.
Algorithms.
Image processing-Digital techniques.
Data mining.
Computer Vision.
Automated Pattern Recognition.
Hardware Performance and Reliability.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Discrete Optimization and Markov Random Fields
  • Multi-label Moves for MRFs with Truncated Convex Priors
  • Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
  • Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation
  • Bipartite Graph Matching Computation on GPU
  • Pose-Invariant Face Matching Using MRF Energy Minimization Framework
  • Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction
  • General Search Algorithms for Energy Minimization Problems
  • Partial Differential Equations
  • Complex Diffusion on Scalar and Vector Valued Image Graphs
  • A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
  • On a Decomposition Model for Optical Flow
  • A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis
  • Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method
  • A Local Normal-Based Region Term for Active Contours
  • Segmentation and Tracking
  • Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels
  • Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
  • Complementary Optic Flow
  • Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images
  • Three Dimensional Monocular Human Motion Analysis in End-Effector Space
  • Robust Segmentation by Cutting across a Stack of Gamma Transformed Images
  • Shape Optimization and Registration
  • Integrating the Normal Field of a Surface in the Presence of Discontinuities
  • Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
  • Geodesics in Shape Space via Variational Time Discretization
  • Image Registration under Varying Illumination: Hyper-Demons Algorithm
  • Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis
  • Inpainting and Image Denoising
  • Exemplar-Based Interpolation of Sparsely Sampled Images
  • A Variational Framework for Non-local Image Inpainting
  • Image Filtering Driven by Level Curves
  • Color Image Restoration Using Nonlocal Mumford-Shah Regularizers
  • Reconstructing Optical Flow Fields by Motion Inpainting
  • Color and Texture
  • Color Image Segmentation in a Quaternion Framework
  • Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel
  • Locally Parallel Textures Modeling with Adapted Hilbert Spaces
  • Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information
  • Statistics and Learning
  • Human Age Estimation by Metric Learning for Regression Problems
  • Clustering-Based Construction of Hidden Markov Models for Generative Kernels
  • Boundaries as Contours of Optimal Appearance and Area of Support.

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