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

Authors: E Moscoso Thompson; S Biasotti; G Sorrentino; M Polig; S Hermon;

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

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.

Elia Moscoso Thompson, Silvia Biasotti, Giusi Sorrentino, Martina Polig, and Sorin Hermon

CCS Concepts: Computing methodologies --> Shape modeling; Shape analysis

Eurographics Workshop on Graphics and Cultural Heritage

Virtual Archaeology

251

254

Country
Italy
Keywords

Computing methodologies: Shape modeling; Shape analysis, Shape modeling, Computing methodologies, Shape analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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