Local hybrid approximation for scattered data fitting with bivariate splines

Abstract

We suggest a local hybrid approximation scheme based on polynomials and radial basis functions, and use it to improve the scattered data fitting algorithm of [7]. Similar to that algorithm, the new method has linear computational complexity and is therefore suitable for large real world data. Numerical examples suggest that it can produce high quality artifact–free approximations that are more accurate than those given by the original method where pure polynomial local approximations are used.

DOI: 10.1016/j.cagd.2006.04.001

Extracted Key Phrases

17 Figures and Tables

Cite this paper

@article{Davydov2006LocalHA, title={Local hybrid approximation for scattered data fitting with bivariate splines}, author={Oleg Davydov and Rossana Morandi and Alessandra Sestini}, journal={Computer Aided Geometric Design}, year={2006}, volume={23}, pages={703-721} }