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Emerging Trends in Visual Computing

LIX Fall Colloquium, ETVC 2008, Palaiseau, France, November 18-20, 2008, Revised Selected and Invited Papers

Medium: Buch
ISBN: 978-3-642-00825-2
Verlag: Springer
Erscheinungstermin: 26.03.2009
Lieferfrist: bis zu 10 Tage

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 ´


Produkteigenschaften


  • Artikelnummer: 9783642008252
  • Medium: Buch
  • ISBN: 978-3-642-00825-2
  • Verlag: Springer
  • Erscheinungstermin: 26.03.2009
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2009
  • Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics
  • Produktform: Kartoniert
  • Gewicht: 606 g
  • Seiten: 386
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt

Themen


Autoren/Hrsg.

Herausgeber

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.