Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9220
DC FieldValueLanguage
dc.contributor.authorPanis, Gabriel-
dc.contributor.authorLanitis, Andreas-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.contributor.authorCootes, Timothy F.-
dc.contributor.otherΛανίτης, Ανδρέας-
dc.contributor.otherΤσαπατσούλης, Νικόλας-
dc.date.accessioned2017-01-24T08:46:59Z-
dc.date.available2017-01-24T08:46:59Z-
dc.date.issued2016-06-01-
dc.identifier.citationIET Biometrics, 2016, vol. 5, no. 2, pp. 37-46en_US
dc.identifier.issn20474946-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9220-
dc.description.abstractThe face and gesture recognition network (FG-NET) ageing database was released in 2004 in an attempt to support research activities aimed at understanding the changes in facial appearance caused by ageing. Since then the database was used for carrying out research in various disciplines including age estimation, age-invariant face recognition and age progression. On the basis of the analysis of published work where the FG-NET ageing database was used, conclusions related to the type of research carried out in relation to the impact of the dataset in shaping up the research topic of facial ageing are presented. This study also includes a review of key articles from different thematic areas, where the FG-NET ageing database was used and the presentation of benchmark results. The ultimate aims of this study are to present concrete facts related to research activities in facial ageing during the past decade, provide an indication of the main methodologies adopted, present a comprehensive list of benchmark results and most importantly provide roadmaps for future trends, requirements and research directions in facial ageing.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIET Biometricsen_US
dc.rights© Institution of Engineering and Technologyen_US
dc.subjectDatabase systemsen_US
dc.subjectGesture recognitionen_US
dc.subjectFace recognitionen_US
dc.titleOverview of research on facial ageing using the FG-NET ageing databaseen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationThe University of Manchesteren_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryUnited Kingdomen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1049/iet-bmt.2014.0053en_US
dc.relation.issue2en_US
dc.relation.volume5en_US
cut.common.academicyear2015-2016en_US
dc.identifier.spage37en_US
dc.identifier.epage46en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.deptDepartment of Communication and Marketing-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0001-6841-8065-
crisitem.author.orcid0000-0002-6739-8602-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
crisitem.author.parentorgFaculty of Communication and Media Studies-
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