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DC poleHodnotaJazyk
dc.contributor.authorSavran, Arman
dc.contributor.authorCeliktutan, Oya
dc.contributor.authorAkyol, Aydin
dc.contributor.authorTrojanová, Jana
dc.contributor.authorDibeklioglu, Hamdi
dc.contributor.authorEsenlik, Semih
dc.contributor.authorBozkurt, Nesli
dc.contributor.authorDemirkir, Cem
dc.contributor.authorAkagunduz, Erdem
dc.contributor.authorCaliskan, Kerem
dc.contributor.authorAlyuz, Nese
dc.contributor.authorSankur, Bulent
dc.contributor.authorUlusoy, Ilkay
dc.contributor.authorAkarun, Lale
dc.contributor.authorSezgin, Tevfik Metin
dc.date.accessioned2015-12-14T09:26:50Z
dc.date.available2015-12-14T09:26:50Z
dc.date.issued2007
dc.identifier.citationSAVRAM, Arman; CELIKTUTAN, Oya; AKYOL, Aydin [et al.]. 3D face recognition performance under adversarial conditions. In: eNTERFACE'07, 13 July - 7 August, 2009, Genova, Italy. Louvain-la-Neuve: TELE, Universite catholique de Louvain, 2007, p. 87-102. ISBN 978-2-87463-105-4.en
dc.identifier.isbn978-2-87463-105-4
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/SavranArman_2007_3DFaceRecognition
dc.identifier.urihttp://hdl.handle.net/11025/16986
dc.format16 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTELE, Universite catholique de Louvainfr
dc.rights© Arman Savran - Oya Celiktutan - Aydın Akyol - Jana Trojanová - Hamdi Dibeklioglu - Semih Esenlik - Nesli Bozkurt - Cem Demirkır - Erdem Akagunduz - Kerem Calıskan - Nese Alyuz - Bulent Sankur - Ilkay Ulusoy - Lale Akarun - Tevfik Metin Sezgincs
dc.subjectdatabáze 3D obličejůcs
dc.subjectvýraz obličejecs
dc.subjectobličejový landmarkingcs
dc.subjectrozpoznávání obličejecs
dc.title3D face recognition performance under adversarial conditionsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe address the question of 3D face recognition and expression understanding under adverse conditions like illumination, pose, and accessories. We therefore conduct a campaign to build a 3D face database including systematic variation of poses, different types of occlusions, and a rich set of expressions. The expressions consist of a judiciously selected subset of Action Units as well as the six basic emotions. The database is designed to enable various research paths from face recognition to facial landmarking and to expression estimation. Preliminary results are presented on the outcome of three different landmarking methods as well as one registration method. As expected, observed non-neutral and non-frontal faces demand new robust algorithms to achieve an acceptable performance.en
dc.subject.translated3D face databaseen
dc.subject.translatedfacial expressionen
dc.subject.translatedfacial landmarkingen
dc.subject.translatedface recognitionen
dc.type.statusPeer-revieweden
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  3. Fakulta aplikovaných věd / Faculty of Applied Sciences
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  5. Články / Articles (KKY)