Discrete Sibson Interpolation

  • Authors:
  • Sung W. Park;Lars Linsen;Oliver Kreylos;John D. Owens;Bernd Hamann

  • Affiliations:
  • -;-;-;-;IEEE

  • Venue:
  • IEEE Transactions on Visualization and Computer Graphics
  • Year:
  • 2006

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Abstract

Natural-neighbor interpolation methods, such as Sibson's method, are well-known schemes for multivariate data fitting and reconstruction. Despite its many desirable properties, Sibson's method is computationally expensive and difficult to implement, especially when applied to higher-dimensional data. The main reason for both problems is the method's implementation based on a Voronoi diagram of all data points. We describe a discrete approach to evaluating Sibson's interpolant on a regular grid, based solely on finding nearest neighbors and rendering and blending d{\hbox{-}}\rm dimensional spheres. Our approach does not require us to construct an explicit Voronoi diagram, is easily implemented using commodity three-dimensional graphics hardware, leads to a significant speed increase compared to traditional approaches, and generalizes easily to higher dimensions. For large scattered data sets, we achieve two-dimensional (2D) interpolation at interactive rates and 3D interpolation (3D) with computation times of a few seconds.