Fitting superellipses

被引:33
作者
Rosin, PL [1 ]
机构
[1] Univ Wales Coll Cardiff, Dept Comp Sci, Cardiff CF24 3XF, S Glam, Wales
关键词
curve; superellipse; fitting; error measure;
D O I
10.1109/34.865190
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the literature, methods for fitting superellipses to data tend to be computationally expensive due to the nonlinear nature of the problem. This paper describes and tests several fitting techniques which provide different trade-offs between efficiency and accuracy. In addition, we describe various alternative error of fit (EOF) measures that can be applied by most superellipse fitting methods.
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页码:726 / 732
页数:7
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