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


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.


	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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