Number of the records: 1  

Laser-aided profile measurement and cluster analysis of ceramic shapes

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    SYSNO ASEP0567586
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleLaser-aided profile measurement and cluster analysis of ceramic shapes
    Author(s) Demján, Peter (ARU-G) SAI, ORCID, RID
    Pavúk, P. (SK)
    Roosevelt, C. H. (TR)
    Number of authors3
    Source TitleJournal of Field Archaeology - ISSN 0093-4690
    Roč. 48, č. 1 (2023), s. 1-18
    Number of pages18 s.
    Publication formPrint - P
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsdigital recording ; computational ceramic classification ; unsupervised machine-learning ; automated shape matching ; Kaymakçı ; western Anatolia
    Subject RIVAC - Archeology, Anthropology, Ethnology
    OECD categoryArchaeology
    Method of publishingOpen access
    Institutional supportARU-G - RVO:67985912
    UT WOS000865657600001
    EID SCOPUS85139822443
    DOI10.1080/00934690.2022.2128549
    AnnotationCeramics are one of the commonest sources of archaeological information, yet their abundance often confounds documentation and analysis. This article presents a new method of documenting and analyzing ceramics that includes laser-aided profile measurement to capture ceramic shape and other information quickly and accurately, resulting in digital outputs suitable for both publication and morphometric analysis. Linked software and database solutions enable unsupervised machine learning to cluster shapes based on similarity, eventually assisting typological analysis. Following an overview of current practices in ceramic recording and both standard and computational shape classification analyses, the new approach is discussed in full as a documentary and analytical tool. A case study from the Middle and Late Bronze Age site of Kaymakçı in western Anatolia demonstrates the benefits of the recording method and helps show that a combination of automated and manual shape clustering techniques currently remains the best practice in ceramic shape classification.
    WorkplaceInstitute of Archaeology (Prague)
    ContactLada Šlesingerová, slesingerova@arup.cas.cz, Tel.: 257 014 412
    Year of Publishing2024
    Electronic addresshttps://www.tandfonline.com/doi/full/10.1080/00934690.2022.2128549
Number of the records: 1  

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