Purnapatra, Sandip ; Smalt, Nic ; Bahmani, Keivan ; Das, Priyanka ; Yambay, David ; Mohammadi, Amir ; George, Anjith ; Bourlai, Thirimachos ; Marcel, Sebastien ; Schuckers, Stephanie ; Fang, Meiling ; Damer, Naser ; Boutros, Fadi ; Kuijper, Arjan ; Kantarci, Alperen ; Demir, Basar ; Yildiz, Zafer ; Ghafoory, Zabi ; Dertli, Hasan ; Ekenel, Hazim Kemal ; Vu, Son ; Christophides, Vassilis ; Dashuang, Liang ; Guanghao, Zhang ; Zhanlong, Hao ; Junfu, Liu ; Yufeng, Jin ; Liu, Samo ; Huang, Samuel ; Kuei, Salieri ; Singh, Jag Mohan ; Ramachandra, Raghavendra (2021):
Face Liveness Detection Competition (LivDet-Face) - 2021.
IEEE, 2021 IEEE International Joint Conference on Biometrics (IJCB), virtual Conference, 04.-07.08.2021, ISBN 978-1-6654-3780-6,
DOI: 10.1109/IJCB52358.2021.9484359,
[Conference or Workshop Item]
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2021 |
| Creators: | Purnapatra, Sandip ; Smalt, Nic ; Bahmani, Keivan ; Das, Priyanka ; Yambay, David ; Mohammadi, Amir ; George, Anjith ; Bourlai, Thirimachos ; Marcel, Sebastien ; Schuckers, Stephanie ; Fang, Meiling ; Damer, Naser ; Boutros, Fadi ; Kuijper, Arjan ; Kantarci, Alperen ; Demir, Basar ; Yildiz, Zafer ; Ghafoory, Zabi ; Dertli, Hasan ; Ekenel, Hazim Kemal ; Vu, Son ; Christophides, Vassilis ; Dashuang, Liang ; Guanghao, Zhang ; Zhanlong, Hao ; Junfu, Liu ; Yufeng, Jin ; Liu, Samo ; Huang, Samuel ; Kuei, Salieri ; Singh, Jag Mohan ; Ramachandra, Raghavendra |
| Title: | Face Liveness Detection Competition (LivDet-Face) - 2021 |
| Language: | English |
| 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. |
| Publisher: | IEEE |
| ISBN: | 978-1-6654-3780-6 |
| Uncontrolled Keywords: | Biometrics, Deep learning, Machine learning, Face recognition, Spoofing attacks |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems 20 Department of Computer Science > Mathematical and Applied Visual Computing |
| Event Title: | 2021 IEEE International Joint Conference on Biometrics (IJCB) |
| Event Location: | virtual Conference |
| Event Dates: | 04.-07.08.2021 |
| Date Deposited: | 03 Aug 2021 07:17 |
| DOI: | 10.1109/IJCB52358.2021.9484359 |
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