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Multivariate spline approximation of the signed distance function.

Authors :
Wang, Ren-Hong
Guo, Qing-Jie
Zhu, Chun-Gang
Li, Chun-Jing
Source :
Journal of Computational & Applied Mathematics. Aug2014, Vol. 265, p276-289. 14p.
Publication Year :
2014

Abstract

Abstract: The signed distance function can effectively support many geometry processing tasks such as decimates, smoothing and shape reconstruction since it provides efficient access to distance estimates. In this paper, we present an adaptive method to approximate the signed distance function of a smooth curve by using polynomial splines over type-2 triangulation. The trimmed offsets are also studied. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03770427
Volume :
265
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
94911111
Full Text :
https://doi.org/10.1016/j.cam.2013.09.043