Guide to Computational Geometry Processing Foundations, Algorithms, and Methods /

Optical scanning is rapidly becoming ubiquitous. From industrial laser scanners to medical CT, MR and 3D ultrasound scanners, numerous organizations now have easy access to optical acquisition devices that provide huge volumes of image data. However, the raw geometry data acquired must first be proc...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Bærentzen, Jakob Andreas (Συγγραφέας), Gravesen, Jens (Συγγραφέας), Anton, François (Συγγραφέας), Aanæs, Henrik (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2012.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Mathematical Preliminaries
  • Vector Spaces, Affine Spaces, and Metric Spaces
  • Differential Geometry
  • Finite Difference Methods for Partial Differential Equations
  • Part II: Computational Geometry Processing
  • Polygonal Meshes
  • Splines
  • Subdivision
  • Curvature in Triangle Meshes
  • Mesh Smoothing and Variational Subdivision
  • Parametrization of Meshes
  • Simplifying and Optimizing Triangle Meshes
  • Spatial Data Indexing and Point Location
  • Convex Hulls
  • Triangle Mesh Generation: Delaunay Triangulation
  • 3D Surface Registration via Iterative Closest Point (ICP)
  • Surface Reconstruction using Radial Basis Functions
  • Volumetric Methods for Surface Reconstruction and Manipulation
  • Isosurface Polygonization.