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dc.contributor.author
Navarro, Jose Pablo
dc.contributor.author
Cintas, Celia
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Lucena, Manuel
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Fuertes, José Manuel
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Segura, Rafael
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Delrieux, Claudio Augusto
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Gonzalez-Jose, Rolando
dc.date.available
2023-07-25T13:07:50Z
dc.date.issued
2022-06-23
dc.identifier.citation
Navarro, Jose Pablo; Cintas, Celia; Lucena, Manuel; Fuertes, José Manuel; Segura, Rafael; et al.; Reconstruction of Iberian ceramic potteries using generative adversarial networks; Nature Publishing Group; Scientific Reports; 12; 1; 23-6-2022; 1-11
dc.identifier.uri
http://hdl.handle.net/11336/205249
dc.description.abstract
Several aspects of past culture, including historical trends, are inferred from time-based patterns observed in archaeological artifacts belonging to different periods. The presence and variation of these objects provides important clues about the Neolithic revolution and given their relative abundance in most archaeological sites, ceramic potteries are significantly helpful in this purpose. Nonetheless, most available pottery is fragmented, leading to missing morphological information. Currently, the reassembly of fragmented objects from a collection of thousands of mixed fragments is a daunting and time-consuming task done almost exclusively by hand, which requires the physical manipulation of the fragments. To overcome the challenges of manual reconstruction and improve the quality of reconstructed samples, we present IberianGAN, a customized Generative Adversarial Network (GAN) tested on an extensive database with complete and fragmented references. We trained the model with 1072 samples corresponding to Iberian wheel-made pottery profiles belonging to archaeological sites located in the upper valley of the Guadalquivir River (Spain). Furthermore, we provide quantitative and qualitative assessments to measure the quality of the reconstructed samples, along with domain expert evaluation with archaeologists. The resulting framework is a possible way to facilitate pottery reconstruction from partial fragments of an original piece.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Nature Publishing Group
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Iberian ceramic
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Generative adversarial networks
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Deep learning
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Archaeology
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Otras Ciencias de la Computación e Información
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
Reconstruction of Iberian ceramic potteries using generative adversarial networks
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-06T17:25:04Z
dc.identifier.eissn
2045-2322
dc.journal.volume
12
dc.journal.number
1
dc.journal.pagination
1-11
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Navarro, Jose Pablo. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ingeniería - Sede Puerto Madryn. Departamento de Informática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
dc.description.fil
Fil: Cintas, Celia. Catholic University Of Eastern Africa; Kenia
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Fil: Lucena, Manuel. Universidad de Jaén; España
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Fil: Fuertes, José Manuel. Universidad de Jaén; España
dc.description.fil
Fil: Segura, Rafael. Universidad de Jaén; España
dc.description.fil
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur; Argentina
dc.description.fil
Fil: Gonzalez-Jose, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
dc.journal.title
Scientific Reports
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-022-14910-7
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-022-14910-7
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