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Face Liveness Detection Competition (LivDet-Face) - 2021

dc.contributor.authorPurnapatra, Sandip
dc.contributor.authorSmalt, Nic
dc.contributor.authorBahmani, Keivan
dc.contributor.authorDas, Priyanka
dc.contributor.authorYambay, David
dc.contributor.authorMohammadi, Amir
dc.contributor.authorGeorge, Anjith
dc.contributor.authorBourlai, Thirimachos
dc.contributor.authorMarcel, Sébastien
dc.contributor.authorSchuckers, Stephanie
dc.contributor.authorFang, Meiling
dc.contributor.authorDamer, Naser
dc.contributor.authorBoutros, Fadi
dc.contributor.authorKuijper, Arjan
dc.contributor.authorKantarci, Alperen
dc.contributor.authorDemir, Basar
dc.contributor.authorYildiz, Zafer
dc.contributor.authorGhafoory, Zabi
dc.contributor.authorDertli, Hasan
dc.contributor.authorEkenel, Hazim Kemal
dc.contributor.authorSon Vu
dc.contributor.authorChristophides, Vassilis
dc.contributor.authorLiang, Dashuang
dc.contributor.authorZhang, Guanghao
dc.contributor.authorHao, Zhanlong
dc.contributor.authorLiu, Junfu
dc.contributor.authorJin, Yufeng
dc.contributor.authorLiu, Samo
dc.contributor.authorHuang, Samuel
dc.contributor.authorKuei, Salieri
dc.contributor.authorSingh, Jag Mohan
dc.contributor.authorRamachandra, Raghavendra
dc.date.accessioned2026-01-26T02:06:45Z
dc.date.issued2021-08-04
dc.description.abstractLiveness Detection (LivDet)-Face is an international competition series open to academia and industry. The competition’s objective is to assess and report state-of-the-art in liveness / Presentation Attack Detection (PAD) for face recognition. Impersonation and presentation of false samples to the sensors can be classified as presentation attacks and the ability for the sensors to detect such attempts is known as PAD. LivDet-Face 2021 * will be the first edition of the face liveness competition. This competition serves as an important benchmark in face presentation attack detection, offering (a) an independent assessment of the current state of the art in face PAD, and (b) a common evaluation protocol, availability of Presentation Attack Instruments (PAI) and live face image dataset through the Biometric Evaluation and Testing (BEAT) platform. The competition can be easily followed by researchers after it is closed, in a platform in which participants can compare their solutions against the LivDet-Face winners.
dc.description.urihttps://doi.org/10.1109/ijcb52358.2021.9484359
dc.description.urihttps://doi.org/10.1109/IJCB52358.2021.9484359
dc.description.urihttps://dx.doi.org/10.1109/ijcb52358.2021.9484359
dc.description.urihttps://hal.science/hal-04319687v1
dc.identifier.doi10.1109/ijcb52358.2021.9484359
dc.identifier.endpage10
dc.identifier.openairedoi_dedup___::c1dd066c7df86189deffdf69445377a0
dc.identifier.orcid0009-0004-0464-3481
dc.identifier.orcid0000-0003-1932-5326
dc.identifier.orcid0000-0001-8751-0836
dc.identifier.orcid0000-0002-9365-9642
dc.identifier.orcid0000-0002-4080-5538
dc.identifier.orcid0000-0001-7231-1287
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11527/56902
dc.publisherIEEE
dc.relation.ispartof2021 IEEE International Joint Conference on Biometrics (IJCB)
dc.rightsCLOSED
dc.subject[INFO] Computer Science [cs]
dc.titleFace Liveness Detection Competition (LivDet-Face) - 2021
dc.typeArticle
dspace.entity.typePublication

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