Automatic analysis of pottery sherds based on structure from motion scanning

• Verfasst von: Di Angelo, Luca [VerfasserIn]
• Verfasst von: Schmitt, Aaron [VerfasserIn]
• Verfasst von: Rummel, Michael [VerfasserIn]
• Verfasst von: Di Stefano, Paolo [VerfasserIn]
• Titel: Automatic analysis of pottery sherds based on structure from motion scanning
• Titelzusatz: the case of the Phoenician carinated-shoulder amphorae from Tell el-Burak (Lebanon)
• Verf.angabe: Luca Di Angelo, Aaron Schmitt, Michael Rummel, Paolo Di Stefano
• E-Jahr: 2024
• Jahr: May-June 2024
• Umfang: 16 S.
• Illustrationen: Illustrationen, Diagramme
• Fussnoten: Gesehen am 16.08.2024
• Titel Quelle: Enthalten in: Journal of cultural heritage
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 2000
• Jahr Quelle: 2024
• Band/Heft Quelle: 67(2024) vom: Mai/Juni, Seite 336-351
• ISSN Quelle: 1296-2074
• DOI: doi:10.1016/j.culher.2024.03.012
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: 3D archeology
• Sach-SW: Automatic feature recognition
• Sach-SW: Hierarchical rims clusterization
• Sach-SW: Phoenician amphorae
• Sach-SW: Pottery
• Sach-SW: Structure from motion
• K10plus-PPN: 1898847797

Abstract

Over the last few years, significant interest has been addressed in developing computer-based methods to document and analyze fragments of ceramics sherds in archaeology. This is because traditional manual processes do not allow for an objective, repeatable, and reproducible analysis of the large quantities of material needed to fully understand and explain human practices in various cultural contexts, such as the economy, daily life, and the material expression of religious beliefs. In that context, this paper proposes a fully digital methodology resulting from the constitution of an international research group coming from different scientific backgrounds: archaeologists with specific skills and experience in fast 3D geometry acquisition methods and researchers who developed and published the only available computer-based process for recognizing the geometric and morphological sherds features analyzed by archaeologists. The proposed methodology consists of two main parts: 1. 3D acquisition of sherds with the construction of the discrete 3D manifold model based on the Structure for Motion technologies; 2. recognition, segmentation, and dimensional characterization of morphological and geometrical features based on the codification and algorithmic implementation of the knowledge used by the archeologists in the traditional method. The method was applied to analyze a set of 133 sherds excavated at Tell el-Burak (Lebanon) to obtain, through the analysis of the namely Phoenician carinated-shoulder amphorae, new insights into the economic organization of the Phoenician homeland. The method demonstrated the potential for objectively, repeatedly, and reproducibly analyzing large quantities of sherds. Furthermore, it allowed studying sherds by generating new high-level knowledge from those acquired from 3D models; in particular, this paper introduces new morphological features that help the archaeologist classify fragments from an analysis of the rim's shape.