Natural neighbor extrapolation using ghost points

  • Authors:
  • Tom Bobach;Gerald Farin;Dianne Hansford;Georg Umlauf

  • Affiliations:
  • Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653 Kaiserslautern, Germany;School of Computing and Informatics, Arizona State University, P.O. Box 878809, Tempe, AZ 85287-8809, USA;School of Computing and Informatics, Arizona State University, P.O. Box 878809, Tempe, AZ 85287-8809, USA;Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653 Kaiserslautern, Germany

  • Venue:
  • Computer-Aided Design
  • Year:
  • 2009

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Abstract

Among locally supported scattered data schemes, natural neighbor interpolation has some unique features that makes it interesting for a range of applications. However, its restriction to the convex hull of the data sites is a limitation that has not yet been satisfyingly overcome. We use this setting to discuss some aspects of scattered data extrapolation in general, compare existing methods, and propose a framework for the extrapolation of natural neighbor interpolants on the basis of dynamic ghost points.