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A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds
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 m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867150/ https://www.ncbi.nlm.nih.gov/pubmed/33540519 http://dx.doi.org/10.3390/s21030978 |
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author | Di Angelo, Luca Di Stefano, Paolo Guardiani, Emanuele Morabito, Anna Eva |
author_facet | Di Angelo, Luca Di Stefano, Paolo Guardiani, Emanuele Morabito, Anna Eva |
author_sort | Di Angelo, Luca |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7867150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78671502021-02-07 A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds Di Angelo, Luca Di Stefano, Paolo Guardiani, Emanuele Morabito, Anna Eva Sensors (Basel) Article 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. MDPI 2021-02-02 /pmc/articles/PMC7867150/ /pubmed/33540519 http://dx.doi.org/10.3390/s21030978 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Di Angelo, Luca Di Stefano, Paolo Guardiani, Emanuele Morabito, Anna Eva A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds |
title | A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds |
title_full | A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds |
title_fullStr | A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds |
title_full_unstemmed | A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds |
title_short | A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds |
title_sort | 3d informational database for automatic archiving of archaeological pottery finds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867150/ https://www.ncbi.nlm.nih.gov/pubmed/33540519 http://dx.doi.org/10.3390/s21030978 |
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