Face age synthesis: A review on datasets, methods, and open research areas

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dc.contributor.authorKale, Ayse
dc.contributor.authorAltun, Oguz
dc.date.accessioned2024-03-13T10:35:08Z
dc.date.available2024-03-13T10:35:08Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractFace age synthesis is the determination of how a person looks in the future or the past by reconstructing their facial image. Determining the change in the human face over the years is a critical process for cross-age face recognition systems in forensic issues such as finding missing people and fugitive criminals. Therefore, it is a subject that has attracted attention in recent years. With the implementation of deep learning methods, better quality and photo-realistic images began to be produced. However, researchers continue to improve both aging accuracy and identity preservation requirements. We group the studies in the literature under two categories: classical methods and deep learning methods. We review both categories in the methods used, evaluation methods, and databases.& COPY; 2023 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.patcog.2023.109791
dc.identifier.issn0031-3203
dc.identifier.issn1873-5142
dc.identifier.scopus2-s2.0-85165127841
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.patcog.2023.109791
dc.identifier.urihttps://hdl.handle.net/20.500.12662/4255
dc.identifier.volume143en_US
dc.identifier.wosWOS:001041500500001
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofPattern Recognitionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAge progressionen_US
dc.subjectAge regressionen_US
dc.subjectFace agingen_US
dc.subjectGANsen_US
dc.titleFace age synthesis: A review on datasets, methods, and open research areasen_US
dc.typeReview Articleen_US

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