An improved method for calculating the no-fit polygon

被引:15
作者
Dean, HT
Tu, YL
Raffensperger, JF
机构
[1] Christchurch
关键词
no-fit polygon; two-dimensional packing; Minkowski sum;
D O I
10.1016/j.cor.2004.11.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The no-fit polygon (NFP) is the set of feasible locations that one polygon may take with respect to another polygon, such that the polygons do not overlap. Feasible locations are required for most of the solutions to two-dimensional packing problems, and also for other problems such as robot motion planning. Efficient methods to calculate the NFP of two convex polygons, or one convex and one non-convex polygon have been developed by other researchers. However, when both polygons are non-convex, the current methods of calculation are inefficient or difficult to implement. This paper presents an extension of Ghosh's (CVGIP: Image Understanding 54(1991)119) NFP algorithm, and uses manipulation of sorted lists of polygon edges to find the NFP efficiently. (c) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1521 / 1539
页数:19
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