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 (Davydov, O., Zeilfelder, F., 2004. Scattered data fitting by direct extension of local polynomials to bivariate splines. Adv. Comp. Math. 21, 223-271). 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. (C) 2006 Elsevier B.V. All rights reserved.
Original language | English |
---|---|
Pages (from-to) | 703-721 |
Number of pages | 19 |
Journal | Computer Aided Geometric Design |
Volume | 23 |
Issue number | 9 |
DOIs | |
Publication status | Published - Dec 2006 |
Keywords
- scattered data fitting
- bivariate splines
- radial basis functions
- thin plate spines
- interpolation
- polynomials