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  4. Face Liveness Detection Competition (LivDet-Face) - 2021
 
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2021
Conference Paper
Title

Face Liveness Detection Competition (LivDet-Face) - 2021

Abstract
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.
Author(s)
Purnapatra, Sandip
Clarkson Univ.
Smalt, Nic
Clarkson Univ.
Bahmani, Keivan
Clarkson Univ.
Das, Priyanka
Clarkson Univ.
Yambay, David
Clarkson Univ.
Mohammadi, Amir
Idiap Research Institute, Switzerland
George, Anjith
Idiap Research Institute, Switzerland
Bourlai, Thirimachos
Univ. of Georgia
Marcel, Sébastien
Idiap Research Institute, Switzerland
Schuckers, Stephanie
Clarkson Univ.
Fang, Meiling  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Boutros, Fadi  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kantarci, Alperen
Istanbul Technical Univ.
Demir, Basar
Istanbul Technical Univ.
Yildiz, Zafer
Istanbul Technical Univ.
Ghafoory, Zabi
Istanbul Technical Univ.
Dertli, Hasan
Sodec Apps, Istanbul / ETIS lab, Paris
Ekenel, Hazim Kemal
Istanbul Technical Univ.
Vu, Son
CY Cergy Paris Univ.
Christophides, Vassilis
CY Cergy Paris Univ.
Dashuang, Liang
Vision Intelligence Center of Meituan, China
Guanghao, Zhang
Vision Intelligence Center of Meituan, China
Zhanlong, Hao
Vision Intelligence Center of Meituan, China
Junfu, Liu
Vision Intelligence Center of Meituan, China
Yufeng, Jin
Vision Intelligence Center of Meituan, China
Liu, Samo
FaceMe, Taiwan
Huang, Samuel
FaceMe, Taiwan
Kuei, Salieri
CLFM, Taiwan
Singh, Jag Mohan
Norwegian Univ. of Science and Technology, Gjøvik
Ramachandra, Raghavendra
Norwegian Univ. of Science and Technology, Gjøvik
Mainwork
IEEE International Joint Conference on Biometrics, IJCB 2021  
Project(s)
ATHENE
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
International Joint Conference on Biometrics (IJCB) 2021  
DOI
10.1109/IJCB52358.2021.9484359
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Digitized Work

  • Lead Topic: Smart City

  • Research Line: Computer vision (CV)

  • Research Line- Machine Learning (ML)

  • biometrics

  • deep learning

  • machine learning

  • face recognition

  • spoofing attacks

  • ATHENE

  • CRISP

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