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.
Bibtex:
@article{lai-2006-sffsp,
author = "Y. Lai and S.-H. Hu and H. Pottmann",
title = "Surface fitting based on a feature sensitive parametrization",
journal = "Computer-Aided Design",
volume = "38",
number = "7",
pages = "800-807",
year = "2006",
}
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