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Review of computer-based methods for archaeological ceramic sherds reconstruction

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Review of computer-based methods for archaeological ceramic sherds reconstruction

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dc.contributor.author Eslami, Dariush es_ES
dc.contributor.author Di Angelo, Luca es_ES
dc.contributor.author Di Stefano, Paolo es_ES
dc.contributor.author Pane, Caterina es_ES
dc.date.accessioned 2020-07-17T08:13:37Z
dc.date.available 2020-07-17T08:13:37Z
dc.date.issued 2020-07-08
dc.identifier.uri http://hdl.handle.net/10251/148199
dc.description.abstract [ES] Las cerámicas son los hallazgos más numerosos encontrados en las excavaciones arqueológicas; a menudo se usan para obtener información sobre la historia, la economía y el arte de un sitio. Los arqueólogos rara vez encuentran jarrones completos; en general, están dañados y en fragmentos, a menudo mezclados con otros grupos de cerámica.El análisis y la reconstrucción de fragmentos se realiza por un operador experto mediante el uso del método manual tradicional. Los artículos revisados proporcionaron evidencias de que el método tradicional no es reproducible, no es repetible, consume mucho tiempo y sus resultados generan grandes incertidumbres. Con el objetivo de superar los límites anteriores, en los últimos años, los investigadores han realizado esfuerzos para desarrollar métodos informáticos que permitan el análisis de fragmentos arqueológicos de cerámica, todo ello destinado a su reconstrucción. Para contribuir a este campo de estudio, en este artículo, se presenta un análisis exhaustivo de las publicaciones disponibles más importantes hasta finales de 2019. Este estudio, centrado únicamente en fragmentos de cerámica, se realiza mediante la recopilación de artículos en inglés de la base de datos Scopus, utilizando las siguientes palabras clave: "métodos informáticos en arqueología", "arqueología 3D", "reconstrucción 3D", "reconocimiento y reconstrucción automática de características", "restauración de reliquias en forma de cerámica ". La lista se completa con referencias adicionales que se encuentran a través de la lectura de documentos seleccionados. Los 53 trabajos seleccionados se dividen en tres períodos de tiempo. Según una revisión detallada de los estudios realizados, los elementos clave de cada método analizado se enumeran en función de las herramientas de adquisición de datos, las características extraídas, los procesos de clasificación y las técnicas de correspondencia. Finalmente, para superar las brechas reales, se proponen algunas recomendaciones para futuras investigaciones. es_ES
dc.description.abstract [EN] Potteries are the most numerous finds found in archaeological excavations; they are often used to get information about the history, economy, and art of a site. Archaeologists rarely find complete vases but, generally, damaged and in fragments, often mixed with other pottery groups. By using the traditional manual method, the analysis and reconstruction of sherds are performed by a skilled operator. Reviewed papers provided evidence that the traditional method is not reproducible, not repeatable, time-consuming and its results have great uncertainties. To overcome the aforementioned limits, in the last years, researchers have made efforts to develop computer-based methods for archaeological ceramic sherds analysis, aimed at their reconstruction. To contribute to this field of study, in this paper, a comprehensive analysis of the most important available publications until the end of 2019 is presented. This study, focused on pottery fragments only, is performed by collecting papers in English by the Scopus database using the following keywords: “computer methods in archaeology", "3D archaeology", "3D reconstruction", "automatic feature recognition and reconstruction", "restoration of pottery shape relics”. The list is completed by additional references found through the reading of selected papers. The 53 selected papers are divided into three periods of time. According to a detailed review of the performed studies, the key elements of each analyzed method are listed based on data acquisition tools, features extracted, classification processes, and matching techniques. Finally, to overcome the actual gaps some recommendations for future researches are proposed.Highlights:The traditional manual method for reassembling sherds is very time-consuming and costly; it also requires a great deal effort from skilled archaeologists in repetitive and routine activities.Computer-based methods for archaeological ceramic sherds reconstruction can help archaeologists in the above-mentioned repetitive and routine activities.In this paper, the state-of-the-art computer-based methods for archaeological ceramic sherds reconstruction are reviewed, and some recommendations for future researches are proposed. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Virtual Archaeology Review es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Computer methods in archaeology es_ES
dc.subject 3D archaeology es_ES
dc.subject 3D reconstruction es_ES
dc.subject Automatic feature recognition and reconstruction es_ES
dc.subject Restoration of pottery shape relics es_ES
dc.subject Métodos informáticos en arqueología es_ES
dc.subject Arqueología 3D es_ES
dc.subject Reconstrucción en 3D es_ES
dc.subject Reconocimiento automático de características y reconstrucción es_ES
dc.subject Restauración de reliquias en forma de cerámica es_ES
dc.title Review of computer-based methods for archaeological ceramic sherds reconstruction es_ES
dc.title.alternative Revisión de los métodos computerizados para la reconstrucción de fragmentos arqueológicos de cerámica es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/var.2020.13134
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Eslami, D.; Di Angelo, L.; Di Stefano, P.; Pane, C. (2020). Review of computer-based methods for archaeological ceramic sherds reconstruction. Virtual Archaeology Review. 11(23):34-49. https://doi.org/10.4995/var.2020.13134 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/var.2020.13134 es_ES
dc.description.upvformatpinicio 34 es_ES
dc.description.upvformatpfin 49 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 23 es_ES
dc.identifier.eissn 1989-9947
dc.relation.pasarela OJS\13134 es_ES
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