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.
- Feature sensitivity
- Surface approximation
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Industrial and Manufacturing Engineering
- Geometry and Topology