Applications of Learning Methods to Imaging Issues in Archaeology, Regarding Ancient Ceramic Manufacturing

K. Dia, K. Dia, V. Coli, V. Coli, L. Blanc-Féraud, J. Leblond, L. Gomart, D. Binder

2021

Abstract

Archaeological studies involve more and more numerical data analyses. In this work, we are interested in the analysis and classification of ceramic sherds tomographic images in order to help archaeologists in learning about the fabrication processes of ancient pottery. More specifically, a particular manufacturing process (spiral patchwork) has recently been discovered in early Neolithic Mediterranean sites, along with a more traditional coiling technique. It has been shown that the ceramic pore distribution in available tomographic images of both archaeological and experimental samples can reveal which manufacturing technique was used. Indeed, with the spiral patchwork, the pores exhibit spiral-like behaviours, whereas with the traditional one, they are distributed along parallel lines, especially in the experimental samples. However, in archaeological samples, these distributions are very noisy, making analysis and discrimination hard to process. Here, we investigate how Learning Methods (Deep Learning and Support Vector Machine) can be used to answer these numerically difficult problems. In particular, we study how the results depend on the input data (either raw data at the output of the tomographic device, or after a preliminary pore segmentation step), and the quality of the information they could provide to archaeologists.

Paper Citation

in Harvard Style

Dia K., Coli V., Blanc-Féraud L., Leblond J., Gomart L. and Binder D. (2021). Applications of Learning Methods to Imaging Issues in Archaeology, Regarding Ancient Ceramic Manufacturing. In Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA, ISBN 978-989-758-526-5, pages 109-116. DOI: 10.5220/0010519101090116

in Bibtex Style

@conference{delta21,
author={K. Dia and V. Coli and L. Blanc-Féraud and J. Leblond and L. Gomart and D. Binder},
title={Applications of Learning Methods to Imaging Issues in Archaeology, Regarding Ancient Ceramic Manufacturing},
booktitle={Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,},
year={2021},
pages={109-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010519101090116},
isbn={978-989-758-526-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,
TI - Applications of Learning Methods to Imaging Issues in Archaeology, Regarding Ancient Ceramic Manufacturing
SN - 978-989-758-526-5
AU - Dia K.
AU - Coli V.
AU - Blanc-Féraud L.
AU - Leblond J.
AU - Gomart L.
AU - Binder D.
PY - 2021
SP - 109
EP - 116
DO - 10.5220/0010519101090116