Emerging Trends in Visual Computing

LIX Fall Colloquium, ETVC 2008, Palaiseau, France, November 18-20, 2008, Revised Selected and Invited Papers
1. Auflage 2009
ISBN: 978-3-642-00825-2
Verlag: Springer

Buch, Englisch, Band 5416, 386 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 606 g

Reihe: Lecture Notes in Computer Science

of Symmetries and Repeated Patterns in 3D Point Cloud Data – Sylvain LAZARD (VEGAS, INRIA LORIA Nancy, France): 3D Visibility and Lines in Space VI Preface ´

Zielgruppe

Research

Autoren/Hrsg.

Nielsen, Frank

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Geometric Computing.- Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing.- From Segmented Images to Good Quality Meshes Using Delaunay Refinement.- Information Geometry and Applications.- Discrete Curvature Flows for Surfaces and 3-Manifolds.- Information Geometry and Its Applications: Convex Function and Dually Flat Manifold.- Computational Geometry from the Viewpoint of Affine Differential Geometry.- Interactions between Symmetric Cone and Information Geometries: Bruhat-Tits and Siegel Spaces Models for High Resolution Autoregressive Doppler Imagery.- Clustering Multivariate Normal Distributions.- Computer Graphics and Vision.- Intrinsic Geometries in Learning.- Shape from Depth Discontinuities.- Computational Photography: Epsilon to Coded Photography.- Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification.- Information Retrieval.- Constant-Working-Space Algorithms for Image Processing.- Sparse Multiscale Patches for Image Processing.- Medical Imaging and Computational Anatomy.- Recent Advances in Large Scale Image Search.- Information Theoretic Methods for Diffusion-Weighted MRI Analysis.- Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy.