3D Scattered Data Approximation with Adaptive Compactly Supported Radial Basis Functions

  • Authors:
  • Affiliations:
  • Venue:
  • SMI '04 Proceedings of the Shape Modeling International 2004
  • Year:
  • 2004

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Abstract

In this paper, we develop an adaptive RBF fitting procedurefor a high quality approximation of a set of pointsscattered over a piecewise smooth surface. We use compactlysupported RBFs whose centers are randomly chosenfrom the points. The randomness is controlled by the pointdensity and surface geometry. For each RBF, its supportsize is chosen adaptively according to surface geometry ata vicinity of the RBF center. All these lead to a noise-robusthigh quality approximation of the set. We also adapt our basictechnique for shape reconstruction from registered rangescans by taking into account measurement confidences. Finally,an interesting link between our RBF fitting procedureand partition of unity approximations is established and discussed.