Similarity measures of convex polygons

被引：0

作者：

Tuzikov, AV ^{[1
]}

Hejmance, H ^{[1
]}

Margolin, GL ^{[1
]}

Sheinin, SA ^{[1
]}

机构：

[1] Belorussian Natl Acad Sci, Inst Tech Cybernet, Minsk, BELARUS

来源：

DOKLADY AKADEMII NAUK BELARUSI | 1998年 / 42卷 / 02期

关键词：

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Similarity measures of convex shapes are discussed. Their definitions are based on Minkowski addition and Brunn-Minkowski inequality, All measures considered are invariant under translations; moreover, they may also be invariant under rotations, multiplying by a scaler, reflections, and linear transformations. In case of convex polygons, efficient algorithms for similarity measure calculation are proposed.

引用

页码：40 / 44

页数：5

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