2381/41387
Penelope M. Allison
Penelope M.
Allison
Konstantin Sofeikov
Konstantin
Sofeikov
Jeremy Levesley
Jeremy
Levesley
Alexander N. Gorban
Alexander N.
Gorban
Ivan Tyukin
Ivan
Tyukin
Nicholas J. Cooper
Nicholas J.
Cooper
Exploring automated pottery identification [Arch-I-Scan]
University of Leicester
2018
IR content
2018-03-23 16:40:31
Journal contribution
https://figshare.le.ac.uk/articles/journal_contribution/Exploring_automated_pottery_identification_Arch-I-Scan_/10212626
A hand-held smart device technology (Arch-I-Scan) is currently being developed and tested
for scanning and classifying archaeological artefacts. The technology is based on a new
platform developed by ARM, jointly with University of Leicester within Innovate UK
Knowledge Transfer Partnership project (code KTP009890), and takes advantage of new
algorithms for one-trial learning based on measure concentration phenomenon in high
dimensions. This article discusses the development of a ‘proof of concept’ for automating the
classification of Roman ceramic vessel types using whole vessels held in the collections of
the Jewry Wall Museum, Leicester. The ‘proof of concept’ illustrates the viability and
technical possibility of classifying and discriminating between objects of different types onthe-fly
from a limited number of images. This technology is based on recent results (Gorban
et al. 2016; Gorban and Tyukin 2017) revealing peculiar geometric properties of finite but
large samples of data in high dimension. The ambition is to create a dedicated software that
turns commonly available devices such as smart phones or tablets into scanners capable of
classifying even small vessel sherds to the correct form and fabric