ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 973–980, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-973-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 973–980, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-973-2020

  03 Aug 2020

03 Aug 2020

AUTOMATIC CLUSTERING OF CELTIC COINS BASED ON 3D POINT CLOUD PATTERN ANALYSIS

S. Horache1, F. Goulette1, J.-E. Deschaud1, T. Lejars2, and K. Gruel2 S. Horache et al.
  • 1Centre de Robotique, CAOR, Mines Paristech, PSL University, France
  • 2AOROC, ENS Ulm, PSL University, France

Keywords: 3D Point Cloud, Registration, Celtic coins, Pattern Recognition, Clustering, Archaeology

Abstract. 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.