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Time flies by: Analyzing the Performance Impact of Ageing in Face Recognition with Synthetic Data

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dc.contributor.authorMarcel Grimmer, Haoyu Zhang
dc.contributor.editorBrömme, Arslan
dc.contributor.editorDamer, Naser
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira Ana F.
dc.contributor.editorTodisco, Massimiliano
dc.contributor.editorUhl, Andreas
dc.date.accessioned2022-10-27T10:19:28Z
dc.date.available2022-10-27T10:19:28Z
dc.date.issued2022
dc.description.abstractThe vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using synthetic data is to solve the shortage of publicly-available biometric data while reducing privacy risks when processing such sensitive information. These advantages are exploited in this work by simulating human face ageing with recent face age modification algorithms to generate mated samples, thereby studying the impact of ageing on the performance of an open-source biometric recognition system. Further, a real dataset is used to evaluate the effects of short-term ageing, comparing the biometric performance to the synthetic domain. The main findings indicate that short-term ageing in the range of 1-5 years has only minor effects on the general recognition performance. However, the correct verification of mated faces with long-term age differences beyond 20 years poses still a significant challenge and requires further investigation.en
dc.identifier.doi10.1109/BIOSIG55365.2022.9897043
dc.identifier.isbn978-3-88579-723-4
dc.identifier.pissn1617-5487
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39697
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-329
dc.subjectSynthetic Data
dc.subjectFace Age Modification
dc.subjectFace Recognition
dc.titleTime flies by: Analyzing the Performance Impact of Ageing in Face Recognition with Synthetic Dataen
dc.typeText/Conference Paper
gi.citation.endPage212
gi.citation.publisherPlaceBonn
gi.citation.startPage205
gi.conference.date14.-16. September 2022
gi.conference.locationDarmstadt
gi.conference.sessiontitleFurther Conference Contributions

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P329 - BIOSIG 2022 - Proceedings of the 21st International Conference of the Biometrics Special Interest Group