Penalized-distance volumetric skeleton algorithm

被引:176
作者
Bitter, I [1 ]
Kaufman, AE
Sato, M
机构
[1] SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY 11794 USA
[2] ETH Zentrum, Swiss Fed Inst Technol, Inst Comp Sci, Comp Graph Grp, CH-8092 Zurich, Switzerland
关键词
skeleton; centerline; medial axis; automatic preprocessing; modeling;
D O I
10.1109/2945.942688
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper introduces a refined general definition of a skeleton that is based on a penalized-distance function and cannot create any of the degenerate cases of the earlier CEASAR and TEASAR algorithms. Additionally, we provide an algorithm that finds the skeleton accurately and rapidly. Our solution is fully automatic, which frees the user from having to engage in manual data preprocessing. We present the accurate skeletons computed on a number of test datasets. The algorithm is very efficient as demonstrated by the running times which were all below seven minutes.
引用
收藏
页码:195 / 206
页数:12
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