Classification of archaeological pottery profiles using modal analysis

Lucena, Manuel; Fuertes, José Manuel; Martínez-Carrillo, A. L.; Ruiz, Arturo; Carrascosa, Francisco Javier

doi:10.1007/s11042-016-4076-9

Cited by 13 publications

(1 citation statement)

References 12 publications

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“…These features result, for example, in traces on the potsherd surface, which can be left by the action of fingers or by tools, either intentionally, such as inscriptions and decorative motifs, or involuntarily, such as working signs. More recently, some methods have been proposed that can improve the visualization of these detail features through the calculation of shape descriptors of the fragment surface [ 21 ]. In [ 22 ], parabolic contours are used to help in the reconstruction of ceramic artifacts recovered from an archaeological excavation in a fragmented state with missing pieces.…”

Section: Archaeological Feature Recognitionmentioning

confidence: 99%

A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds

Angelo

Stefano

Guardiani

et al. 2021

Sensors

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From archaeological excavations, huge quantities of material are recovered, usually in the form of fragments. Their correct interpretation and classification are laborious and time-consuming and requires measurement, analysis and comparison of several items. Basing these activities on quantitative methods that process 3D digital data from experimental measurements allows optimizing the entire restoration process, making it faster, more accurate and cheaper. The 3D point clouds, captured by the scanning process, are raw data that must be properly processed to be used in automatic systems for the analysis of archeological finds. This paper focuses on the integration of a shape feature recognizer, able to support the semantic decomposition of the ancient artifact into archaeological features, with a structured database, able to query the large amount of information extracted. Through the automatic measurement of the dimensional attributes of the various features, it is possible to facilitate the comparative analyses between archaeological artifacts and the inferences of the archaeologist and to reduce the routine work. Here, a dedicated database has been proposed, able to store the information extracted from huge quantities of archaeological material using a specific shape feature recognizer. This information is useful for making comparisons but also to improve the archaeological knowledge. The database has been implemented and used for the identification of pottery fragments and the reconstruction of archaeological vessels. Reconstruction, in particular, often requires the solution of complex problems, especially when it involves types of potsherds that cannot be treated with traditional methods.

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Section: Archaeological Feature Recognitionmentioning

confidence: 99%