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Fast B-spline curve fitting by L-BFGS

  • Wenni Zheng*
  • , Pengbo Bo
  • , Yang Liu
  • , Wenping Wang
  • *Corresponding author for this work
  • The University of Hong Kong
  • Harbin Institute of Technology Weihai
  • Microsoft USA

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a fast method for fitting planar B-spline curves to unorganized data points. In traditional methods, optimization of control points and foot points are performed in two alternating time-consuming steps in every iteration: 1) control points are updated by setting up and solving a linear system of equations; and 2) foot points are computed by projecting each data point onto a B-spline curve. Our method uses the L-BFGS optimization method to optimize control points and foot points simultaneously and therefore it does not need to solve a linear system of equations or performing foot point projection in every iteration. As a result, the proposed method is much faster than existing methods.

Original languageEnglish
Pages (from-to)448-462
Number of pages15
JournalComputer Aided Geometric Design
Volume29
Issue number7
DOIs
StatePublished - Oct 2012
Externally publishedYes

Keywords

  • B-spline curve
  • Curve fitting
  • L-BFGS
  • Point cloud
  • Quasi-Newton method

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