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What you can’t see can help you – extended-range imaging for 3D-mask presentation attack detection

dc.contributor.authorBhattacharjee,Sushil
dc.contributor.authorMarcel,Sébastien
dc.contributor.editorBrömme,Arslan
dc.contributor.editorBusch,Christoph
dc.contributor.editorDantcheva,Antitza
dc.contributor.editorRathgeb,Christian
dc.contributor.editorUhl,Andreas
dc.date.accessioned2017-09-26T09:20:59Z
dc.date.available2017-09-26T09:20:59Z
dc.date.issued2017
dc.description.abstractHigh-quality custom-made 3D masks are increasing becoming a serious threat to face recognition systems. This threat is driven, in part, by the falling cost of manufacturing such masks. Research in face presentation-attack detection (PAD) in general, and also specifically for 3D-mask based attacks, has mostly concentrated on imagery in the visible-light range of wavelengths (RGB). We look beyond imagery in the visible-light spectrum to find potentially easier solutions for the challenge of face presentation-attack detection (PAD). In particular, we explore the use of nearinfrared (NIR) and thermal imagery to detect print-, replay-, and 3D-mask-attacks. This preliminary study shows that both NIR and thermal imagery can potentially simplify the task of face-PAD.en
dc.identifier.isbn978-3-88579-664-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4645
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBIOSIG 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-70
dc.subjectFace Presentation Attack Detection
dc.subject3D-Masks
dc.subjectRGB/depth cameras
dc.subjectthermal cameras
dc.subjectNIR
dc.subjectLWIR
dc.titleWhat you can’t see can help you – extended-range imaging for 3D-mask presentation attack detectionen
gi.citation.endPage172
gi.citation.startPage161
gi.conference.date20.-22. September 2017
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleRegular Research Papers

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