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Surface fitting based on a feature sensitive parametrization

✍ Scribed by Yu-Kun Lai; Shi-Min Hu; Helmut Pottmann

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
818 KB
Volume
38
Category
Article
ISSN
0010-4485

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✦ Synopsis

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.

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