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Vectorization of hand-drawn image using piecewise cubic Bézier curves fitting

Hung-Hsin Chang, Hong Yan

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, we present a new curve-fitting algorithm for vectorizing hand-drawn key frames in a computer-aided cartooning system. In our algorithm, a new optimization technique is developed for finding a parametric curve, which approximates to the given data points. In order to obtain the desired results, we also define a new distance function to measure the error between the curve and the data points. In addition, in the piecewise curve fitting our method can satisfy the geometrical continuity on a non-corner knot. With these techniques the hand-drawn images can faithfully be represented by piecewise cubic Bézier curves. © 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1747-1755
JournalPattern Recognition
Volume31
Issue number11
DOIs
Publication statusPublished - Nov 1998
Externally publishedYes

Research Keywords

  • Cubic bézier curves
  • Curve fitting
  • Least-squares approximation
  • Projection algorithm

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