Clustering coins with respect to their die is an important component of numismatic research and crucial for understanding the economic history of tribes (especially when literary production does not exist, in celtic culture). It is a very hard task that requires a lot of times and expertise. To cluster thousands of coins, automatic methods are becoming necessary. Nevertheless, public datasets for coin die clustering evaluation are too rare, though they are very important for the development of new methods. Therefore, we propose a new 3D dataset of 2 070 scans of coins. With this dataset, we propose two benchmarks, one for point cloud registration, essential for coin die recognition, and a benchmark of coin die clustering. We show how we automatically cluster coins to help experts, and perform a preliminary evaluation for these two tasks. The code of the baseline and the dataset will be publicly available at https://www.npm3d.fr/coins-riedones3d and https://www.chronocarto.eu/spip.php?article84&lang=fr
翻译:硬币在死亡时的组合是纳米研究的一个重要组成部分,对于了解部落的经济历史至关重要(特别是在没有文学生产的情况下,在康乐文化中);这是一项非常艰巨的任务,需要许多时间和专门知识;要将数千枚硬币集中起来,自动的方法就变得必要;然而,用于硬币死亡群评估的公共数据集太少,尽管对于开发新方法非常重要。因此,我们提议建立一个2 070个硬币扫描的新的3D数据集。有了这个数据集,我们建议了两个基准,一个是点云登记基准,一个是硬币死亡识别基准,另一个是硬币死亡集合基准。我们展示了我们如何自动组合硬币以帮助专家,并对这两项任务进行初步评估。基线代码和数据集将公布在https://www.npm3d.fr/coins-riedones3d和https://www.chronocarto.eu/spip.php? artle84&lang=fr上。