An automatic approach for the classification of ancient clay statuettes based on heads features recognition
(2019) 2019 Eurographics Workshop on Graphics and Cultural Heritage, GCH 2019 In GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage p.79-82- Abstract
In 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4a20293c-1654-4055-aeef-351021193207
- author
- Scalas, A. ; Vassallo, V. LU ; Mortara, M. ; Spagnuolo, M. and Hermon, S.
- organization
- publishing date
- 2019
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage
- series title
- GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage
- editor
- Rizvic, Selma and Rodriguez-Echavarria, Karina
- pages
- 4 pages
- publisher
- Eurographics - European Association for Computer Graphics
- conference name
- 2019 Eurographics Workshop on Graphics and Cultural Heritage, GCH 2019
- conference location
- Sarajevo, Bosnia and Herzegovina
- conference dates
- 2019-11-06 - 2019-11-09
- external identifiers
-
- scopus:85087336473
- ISBN
- 9783038680826
- DOI
- 10.2312/gch.20191352
- language
- English
- LU publication?
- yes
- id
- 4a20293c-1654-4055-aeef-351021193207
- date added to LUP
- 2020-07-20 13:13:10
- date last changed
- 2023-10-09 11:40:55
@inproceedings{4a20293c-1654-4055-aeef-351021193207, abstract = {{<p>In 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.</p>}}, author = {{Scalas, A. and Vassallo, V. and Mortara, M. and Spagnuolo, M. and Hermon, S.}}, booktitle = {{GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage}}, editor = {{Rizvic, Selma and Rodriguez-Echavarria, Karina}}, isbn = {{9783038680826}}, language = {{eng}}, pages = {{79--82}}, publisher = {{Eurographics - European Association for Computer Graphics}}, series = {{GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage}}, title = {{An automatic approach for the classification of ancient clay statuettes based on heads features recognition}}, url = {{http://dx.doi.org/10.2312/gch.20191352}}, doi = {{10.2312/gch.20191352}}, year = {{2019}}, }