arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.05705cs.CV
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基于三维点云模式分析的凯尔特硬币自动聚类

Automatic clustering of Celtic coins based on 3D point cloud pattern analysis

Mines Paristech, PSL University(巴黎矿业学院,巴黎文理研究大学);ENS Ulm, PSL University(巴黎高等师范学院,巴黎文理研究大学)

Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars

摘要:

对同一模具击打的硬币进行识别和聚类对于考古研究来说是很有意义的。现在,这项工作只能由专家来完成,而且非常繁琐。在本文中,我们提出了一种方法来自动集群模具,基于3D扫描的硬币。它基于三个步骤:注册,比较和基于图形的聚类。对来自公元前二至一世纪凯尔特国库的90枚硬币的实验结果表明,聚类质量与专家的工作相当。

英文摘要:

The recognition and clustering of coins which have been struck by the same die is of interest for archeological studies. Nowadays, this work can only be performed by experts and is very tedious. In this paper, we propose a method to automatically cluster dies, based on 3D scans of coins. It is based on three steps: registration, comparison and graph-based clustering. Experimental results on 90 coins coming from a Celtic treasury from the II-Ith century BC show a clustering quality equivalent to expert's work.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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