An Automatic Approach for the Classification of Ancient Clay Statuettes Based on Heads Features Recognition

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dc.contributor.authorScalas, Andreasen_US
dc.contributor.authorVassallo, Valentinaen_US
dc.contributor.authorMortara, Michelaen_US
dc.contributor.authorSpagnuolo, Michelaen_US
dc.contributor.authorHermon, Sorinen_US
dc.contributor.editorRizvic, Selma and Rodriguez Echavarria, Karinaen_US
dc.date.accessioned2019-11-06T06:02:24Z
dc.date.available2019-11-06T06:02:24Z
dc.date.issued2019
dc.description.abstractIn recent years, quantitative approaches based on mathematical theories and ICT tools, known under the terms of digital, computational, and virtual archaeology, are more and more involved in the traditional archaeological research. In this paper, we apply shape analysis techniques to 3D digital replicas of archaeological findings to support their interpretation. In particular, our study focuses on a collection of small terracotta figurines from the ancient sanctuary of Ayia Irini, Cyprus, and it aims at re-analysing the material utilising a quantitative approach. We experiment state of the art techniques (meshSIFT and DBSCAN) to cluster statuettes according to the similarity of their heads, to investigate their production process.en_US
dc.description.sectionheaders3D Modelling and Simulation
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20191352
dc.identifier.isbn978-3-03868-082-6
dc.identifier.issn2312-6124
dc.identifier.pages79-82
dc.identifier.urihttps://doi.org/10.2312/gch.20191352
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20191352
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectShape analysis
dc.subjectMesh geometry models
dc.subjectShape representations
dc.subjectInformation systems
dc.subjectClustering and classification
dc.subjectApplied computing
dc.subjectArchaeology
dc.titleAn Automatic Approach for the Classification of Ancient Clay Statuettes Based on Heads Features Recognitionen_US
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