Surface fitting based on a feature sensitive parametrization

Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680, Hu, Shi-Min and Pottmann, Helmut 2006. Surface fitting based on a feature sensitive parametrization. Computer-Aided Design 38 (7) , pp. 800-807. 10.1016/j.cad.2006.04.007

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Abstract

Most approaches to least squares fitting of a B-spline surface to measurement data require a parametrization of the data point set and the choice of suitable knot vectors. We propose to use uniform knots in connection with a feature sensitive parametrization. This parametrization allocates more parameter space to highly curved feature regions and thus automatically provides more control points where they are needed.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Surface approximation; Parametrization; Feature sensitivity
Publisher:	Elsevier
ISSN:	0010-4485
Last Modified:	20 Oct 2022 08:16
URI:	https://orca.cardiff.ac.uk/id/eprint/27769

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