Surface fitting based on a feature sensitive parametrization
Y. Lai, S.-H. Hu, and H. Pottmann

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:

@INPROCEEDINGS{lhp_feature_06, 
AUTHOR = "Y. Lai and S.-H. Hu and H. Pottmann", 
TITLE = "Surface fitting based on a feature sensitive parametrization", 
BOOKTITLE = "Computer-Aided Design", 
VOLUME = "38", 
NUMBER = "7", 
PAGES = "800--807", 
YEAR = "2006", 
}

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