Efficient Reconstruction of Large Scattered Geometric Datasets using the Partition of Unity and Radial Basis Functions

Abstract

A new scheme for the reconstruction of large geometric data is presented. It is based on the wellknown radial basis function model combined with an adaptive spatial and functional subdivision associated with a family of functions called partition of unity. This combination offers robust and efficient solution to a great variety of 2D and 3D reconstruction… (More)

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Cite this paper

@inproceedings{Tobor2004EfficientRO, title={Efficient Reconstruction of Large Scattered Geometric Datasets using the Partition of Unity and Radial Basis Functions}, author={Ireneusz Tobor and Patrick Reuter and Christophe Schlick}, booktitle={WSCG}, year={2004} }