Towards an Automatic 3D Patterns Classification: the GRAVITATE Use Case

dc.contributor.author	Thompson, Elia Moscoso	en_US
dc.contributor.author	Biasotti, Silvia	en_US
dc.contributor.author	Sorrentino, Giusi	en_US
dc.contributor.author	Polig, Martina	en_US
dc.contributor.author	Hermon, Sorin	en_US
dc.contributor.editor	Sablatnig, Robert and Wimmer, Michael	en_US
dc.date.accessioned	2018-11-11T10:58:03Z
dc.date.available	2018-11-11T10:58:03Z
dc.date.issued	2018
dc.identifier.isbn	978-3-03868-057-4
dc.identifier.issn	2312-6124
dc.identifier.uri	https://doi.org/10.2312/gch.20181372
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/gch20181372
dc.description.abstract	When cataloging archaeological fragments, decorative patterns are an indicator of the stylistic canon an object belongs to. In this paper we address a quantitative classification of the decorative pattern elements that characterize the models in the GRAVITATE use case, discussing the performance of a recent algorithm for pattern recognition over triangle meshes.	en_US
dc.publisher	The Eurographics Association	en_US
dc.subject	Computing methodologies
dc.subject	Shape modeling
dc.subject	Shape analysis
dc.title	Towards an Automatic 3D Patterns Classification: the GRAVITATE Use Case	en_US
dc.description.seriesinformation	Eurographics Workshop on Graphics and Cultural Heritage
dc.description.sectionheaders	Virtual Archaeology
dc.identifier.doi	10.2312/gch.20181372
dc.identifier.pages	251-254