3D Average Common Submatrix Measure

被引：1

作者：

Franco, Federica ^{[1
]}

Amelio, Alessia ^{[1
]}

Greco, Sergio ^{[1
]}

机构：

[1] Univ Calabria, DIMES, Via Pietro Bucci 44, Arcavacata Di Rende, CS, Italy

来源：

DIGITAL LIBRARIES: THE ERA OF BIG DATA AND DATA SCIENCE, IRCDL 2020 | 2020年 / 1177卷

关键词：

3D objects; Pattern matching; Image similarity;

D O I：

10.1007/978-3-030-39905-4_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a new measure for computing the similarity among 3D objects as the average volume of the largest sub-cubes matching in the objects. The match is approximate and only verified within a neighbourhood from the position of the sub-cubes. Preliminary tests performed on random and synthetic datasets prove the efficacy of the similarity measure in capturing the visual similarity among the 3D objects and a reduction in the execution time when the neighbourhood is considered.

引用

页码：26 / 32

页数：7

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