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A Semi-Lagrangian Scheme with Radial Basis Approximation for Surface Reconstruction by Carlini, Elisabetta; Ferretti, Roberto is a scholarly article available to read on EtoBox.

What is A Semi-Lagrangian Scheme with Radial Basis Approximation for Surface Reconstruction about?

We propose a Semi-Lagrangian scheme coupled with Radial Basis Function interpolation for approximating a curvature-related level set model, which has been proposed by Zhao et al. in \cite{ZOMK} to reconstruct unknown surfaces from sparse, possibly noisy data sets. The main advantages of the proposed scheme are the possibility to solve the level set method on unstructured grids, as well as to concentrate the reconstruction points in the neighbourhood of the data set, with a consequent reduction of the computational effort. Moreover, the scheme is explicit. Numerical tests show the accuracy and robustness of our approach to reconstruct curves and surfaces from relatively sparse data sets.

Author

Carlini, Elisabetta; Ferretti, Roberto

Published

2016

Language

EN