Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/26232
DC FieldValueLanguage
dc.contributor.authorTsapatsoulis, Nicolas-
dc.contributor.authorDiakoumopoulou, Katerina-
dc.date.accessioned2022-03-18T11:25:21Z-
dc.date.available2022-03-18T11:25:21Z-
dc.date.issued2021-09-
dc.identifier.citation19th International Conference on Computer Analysis of Images and Patterns, 2021, 28-30 September, Virtual Conferenceen_US
dc.identifier.isbn9783030891305-
dc.identifier.issn03029743-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/26232-
dc.description.abstractIn this paper we investigate a specific case of face verification: Given some confirmed photos and video frames of Leonidas Arniotis, a Greek artist of late 1800 and early 1900s, we have examined two photos, of very low resolution, of an unknown person that could be Leonidas Arniotis. The widespread of deep learning and the availability of ResNet-50 model, which was trained on VGGFace2 dataset, allowed us to apply transfer learning for face verification purposes. At the same time an alternative technique which is based on facial points matching was applied. The main aim of the paper is to show that despite the progress made in the fields of face recognition and face verification, actual systems that can be used by non-experts for examining real world cases, like the one we deal in the current paper, remain impractical. In the framework of the current work, we also examine and discuss, in a critical way, the effectiveness of transfer learning for real face verification cases through specific examples.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© Springer.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDeep learningen_US
dc.subjectFace verificationen_US
dc.subjectGraph matchingen_US
dc.subjectTransfer learningen_US
dc.titleFace Verification in Practice: The Case of Greek Artist Leonidas Arniotisen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationNational and Kapodistrian University of Athensen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Conference on Computer Analysis of Images and Patternsen_US
dc.identifier.doi10.1007/978-3-030-89131-2_12en_US
dc.identifier.scopus2-s2.0-85119503836-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85119503836-
cut.common.academicyear2020-2021en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Communication and Marketing-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-6739-8602-
crisitem.author.parentorgFaculty of Communication and Media Studies-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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