Riedones3D: a celtic coin dataset for registration and fine-grained clustering
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Abstract (arXiv)
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
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 12 of its 41 references that are in the map. First posted on arXiv 30 Sep 2021.
Builds on
12 of 41 references.
References · 12
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- 2020Automatic clustering of Celtic coins based on 3D point cloud pattern analysiscited by 1
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 2.
3 papers.