Multistep scattered data interpolation using compactly supported radial basis functions
Journal of Computational and Applied Mathematics - Special issue on scattered data
Approximate implicitization using monoid curves and surfaces
Graphical Models and Image Processing
Mathematical Methods for Curves and Surfaces
Modelling with implicit surfaces that interpolate
ACM Transactions on Graphics (TOG)
Radial basis functions for the multivariate interpolation of large scattered data sets
Journal of Computational and Applied Mathematics - Special issue: Proceedings of the 9th International Congress on computational and applied mathematics
Radial Basis Functions
Interval implicitization of rational curves
Computer Aided Geometric Design
3D scattered data interpolation and approximation with multilevel compactly supported RBFs
Graphical Models - Special issue on SMI 2003
The Visual Computer: International Journal of Computer Graphics
Interval implicitization of parametric surfaces
ICICA'10 Proceedings of the First international conference on Information computing and applications
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In this paper, a new approach is proposed to solve the approximate implicitization of parametric surfaces. It is primarily based on multivariate interpolation of scattered data by using compactly supported radial basis functions. Experimental results are provided to illustrate the proposed method is flexible and effective.