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dc.contributor.authorParisotto, S
dc.contributor.authorLeone, N
dc.contributor.authorSchönlieb, CB
dc.contributor.authorLaunaro, Alessandro
dc.date.accessioned2022-06-22T23:30:29Z
dc.date.available2022-06-22T23:30:29Z
dc.date.issued2022-06
dc.identifier.issn0305-4403
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338304
dc.description.abstractIn this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds. Usually, each potsherd is represented by its sectional profile as a two dimensional black–white image and printed in archaeological books related to specific archaeological excavations. The partiality and handcrafted variance of the fragments make their matching a challenging problem: we propose to pair similar profiles via the unsupervised hierarchical clustering of non-linear features learned in the latent space of a deep convolutional Variational Autoencoder (VAE) network. Our contribution also include the creation of a ROman COmmonware POTtery (ROCOPOT) database, with more than 4000 potsherds profiles extracted from 25 Roman pottery corpora, and a MATLAB GUI software for the easy inspection of shape similarities. Results are commented both from a mathematical and archaeological perspective so as to unlock new research directions in both communities.
dc.publisherElsevier BV
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectVariational Autoencoders
dc.subjectHierarchical clustering
dc.subjectPottery studies
dc.subjectRoman archaeology
dc.subjectCommonware pottery
dc.subjectDeep learning
dc.subjectUnsupervised learning
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.subjectShape analysis
dc.subjectShape matching
dc.subjectHeritage science
dc.titleUnsupervised clustering of Roman potsherds via Variational Autoencoders
dc.typeArticle
dc.publisher.departmentFaculty of Classics
dc.date.updated2022-06-22T08:28:31Z
prism.numberARTN 105598
prism.publicationDate2022
prism.publicationNameJournal of Archaeological Science
prism.startingPage105598
prism.volume142
dc.identifier.doi10.17863/CAM.85713
rioxxterms.versionofrecord10.1016/j.jas.2022.105598
rioxxterms.versionVoR
dc.contributor.orcidLaunaro, Alessandro [0000-0002-1770-2485]
dc.identifier.eissn1095-9238
rioxxterms.typeJournal Article/Review
cam.depositDate2022-06-22
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-NoDerivatives 4.0 International