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

被引:38
|
作者
Chang, HH [1 ]
Yan, H [1 ]
机构
[1] Univ Sydney, Dept Elect Engn, Sydney, NSW 2006, Australia
关键词
curve fitting; least-squares approximation; cubic Bezier curves; projection algorithm;
D O I
10.1016/S0031-3203(98)00045-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 Bezier curves. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:1747 / 1755
页数:9
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