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Face Liveness Detection Competition (LivDet-Face)-2021

  • Sandip Purnapatra*
  • , Nic Smalt
  • , Keivan Bahmani
  • , Priyanka Das
  • , David Yambay
  • , Amir Mohammadi
  • , Anjith George
  • , Thirimachos Bourlai
  • , Sebastien Marcel
  • , Stephanie Schuckers
  • , Meiling Fang
  • , Naser Damer
  • , Fadi Boutros
  • , Arjan Kuijper
  • , Alperen Kantarci
  • , Basar Demir
  • , Zafer Yildiz
  • , Zabi Ghafoory
  • , Hasan Dertli
  • , Hazim Kemal Ekenel
  • Son Vu, Vassilis Christophides, Liang Dashuang, Zhang Guanghao, Hao Zhanlong, Liu Junfu, Jin Yufeng, Samo Liu, Samuel Huang, Salieri Kuei, Jag Mohan Singh, Raghavendra Ramachandra
*Bu çalışma için yazışmadan sorumlu yazar
  • Clarkson University
  • IDIAP Research Institute
  • University of Georgia
  • Fraunhofer Institute for Computer Graphics Research
  • Istanbul Technical University
  • Sodec Apps
  • CY Cergy Paris Université
  • Vision Intelligence Center of Meituan
  • FaceMe
  • CLFM
  • Norwegian University of Science and Technology

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

27 Atıf (Scopus)

Özet

Liveness 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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2021 IEEE International Joint Conference on Biometrics, IJCB 2021
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665437806
DOI'lar
Yayın durumuYayınlandı - 4 Ağu 2021
Harici olarak yayınlandıEvet
Etkinlik2021 IEEE International Joint Conference on Biometrics, IJCB 2021 - Shenzhen, China
Süre: 4 Ağu 20217 Ağu 2021

Yayın serisi

Adı2021 IEEE International Joint Conference on Biometrics, IJCB 2021

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???event.eventtypes.event.conference???2021 IEEE International Joint Conference on Biometrics, IJCB 2021
Ülke/BölgeChina
ŞehirShenzhen
Periyot4/08/217/08/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Finansman

This material is based upon the work supported in part by the National Science Foundation under Grant No. 1650503, the Center for Identification Technology and Research (CITeR), and the European Union’s Horizon 2020 research and innovation program, AI4EU, under grant agreement 825619.

FinansörlerFinansör numarası
Center for Identification Technology and Research
National Science Foundation1650503
Horizon 2020 Framework Programme825619

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