Surface fitting based on a feature sensitive parametrization

Yu K. Lai, Shi M. Hu*, Helmut Pottmann

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)800-807
Number of pages8
JournalCAD Computer Aided Design
Issue number7
StatePublished - Jul 1 2006


  • Feature sensitivity
  • Parametrization
  • Surface approximation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering
  • Geometry and Topology


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