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

doi:10.1109/IJCB52358.2021.9484359

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 Bölüm › Konferans katkısı › bilirkişi

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 dil	İngilizce
Ana bilgisayar yayını başlığı	2021 IEEE International Joint Conference on Biometrics, IJCB 2021
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781665437806
DOI'lar	https://doi.org/10.1109/IJCB52358.2021.9484359
Yayın durumu	Yayınlandı - 4 Ağu 2021
Harici olarak yayınlandı	Evet
Etkinlik	2021 IEEE International Joint Conference on Biometrics, IJCB 2021 - Shenzhen, China Süre: 4 Ağu 2021 → 7 Ağu 2021

Yayın serisi

Adı	2021 IEEE International Joint Conference on Biometrics, IJCB 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2021 IEEE International Joint Conference on Biometrics, IJCB 2021
Ülke/Bölge	China
Şehir	Shenzhen
Periyot	4/08/21 → 7/08/21

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.

Finansörler	Finansör numarası
Center for Identification Technology and Research
National Science Foundation	1650503
Horizon 2020 Framework Programme	825619

Belgeye Erişim

10.1109/IJCB52358.2021.9484359

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Purnapatra, S., Smalt, N., Bahmani, K., Das, P., Yambay, D., Mohammadi, A., George, A., Bourlai, T., Marcel, S., Schuckers, S., Fang, M., Damer, N., Boutros, F., Kuijper, A., Kantarci, A., Demir, B., Yildiz, Z., Ghafoory, Z., Dertli, H., ... Ramachandra, R. (2021). Face Liveness Detection Competition (LivDet-Face)-2021. In 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 Makale 9484359 (2021 IEEE International Joint Conference on Biometrics, IJCB 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCB52358.2021.9484359

@inproceedings{e1513f7836b94c9e9a77fdf624f45203,

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 = "Sandip Purnapatra and Nic Smalt and Keivan Bahmani and Priyanka Das and David Yambay and Amir Mohammadi and Anjith George and Thirimachos Bourlai and Sebastien Marcel and Stephanie Schuckers and Meiling Fang and Naser Damer and Fadi Boutros and Arjan Kuijper and Alperen Kantarci and Basar Demir and Zafer Yildiz and Zabi Ghafoory and Hasan Dertli and Ekenel, \{Hazim Kemal\} and Son Vu and Vassilis Christophides and Liang Dashuang and Zhang Guanghao and Hao Zhanlong and Liu Junfu and Jin Yufeng and Samo Liu and Samuel Huang and Salieri Kuei and Singh, \{Jag Mohan\} and Raghavendra Ramachandra",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Joint Conference on Biometrics, IJCB 2021 ; Conference date: 04-08-2021 Through 07-08-2021",

year = "2021",

month = aug,

day = "4",

doi = "10.1109/IJCB52358.2021.9484359",

language = "English",

series = "2021 IEEE International Joint Conference on Biometrics, IJCB 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 IEEE International Joint Conference on Biometrics, IJCB 2021",

address = "United States",

}

Purnapatra, S, Smalt, N, Bahmani, K, Das, P, Yambay, D, Mohammadi, A, George, A, Bourlai, T, Marcel, S, Schuckers, S, Fang, M, Damer, N, Boutros, F, Kuijper, A, Kantarci, A, Demir, B, Yildiz, Z, Ghafoory, Z, Dertli, H, Ekenel, HK, Vu, S, Christophides, V, Dashuang, L, Guanghao, Z, Zhanlong, H, Junfu, L, Yufeng, J, Liu, S, Huang, S, Kuei, S, Singh, JM & Ramachandra, R 2021, Face Liveness Detection Competition (LivDet-Face)-2021. in 2021 IEEE International Joint Conference on Biometrics, IJCB 2021., 9484359, 2021 IEEE International Joint Conference on Biometrics, IJCB 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Joint Conference on Biometrics, IJCB 2021, Shenzhen, China, 4/08/21. https://doi.org/10.1109/IJCB52358.2021.9484359

Face Liveness Detection Competition (LivDet-Face)-2021. / Purnapatra, Sandip; Smalt, Nic; Bahmani, Keivan et al.
2021 IEEE International Joint Conference on Biometrics, IJCB 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9484359 (2021 IEEE International Joint Conference on Biometrics, IJCB 2021).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Face Liveness Detection Competition (LivDet-Face)-2021

AU - Purnapatra, Sandip

AU - Smalt, Nic

AU - Bahmani, Keivan

AU - Das, Priyanka

AU - Yambay, David

AU - Mohammadi, Amir

AU - George, Anjith

AU - Bourlai, Thirimachos

AU - Marcel, Sebastien

AU - Schuckers, Stephanie

AU - Fang, Meiling

AU - Damer, Naser

AU - Boutros, Fadi

AU - Kuijper, Arjan

AU - Kantarci, Alperen

AU - Demir, Basar

AU - Yildiz, Zafer

AU - Ghafoory, Zabi

AU - Dertli, Hasan

AU - Ekenel, Hazim Kemal

AU - Vu, Son

AU - Christophides, Vassilis

AU - Dashuang, Liang

AU - Guanghao, Zhang

AU - Zhanlong, Hao

AU - Junfu, Liu

AU - Yufeng, Jin

AU - Liu, Samo

AU - Huang, Samuel

AU - Kuei, Salieri

AU - Singh, Jag Mohan

AU - Ramachandra, Raghavendra

PY - 2021/8/4

Y1 - 2021/8/4

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85113306913

U2 - 10.1109/IJCB52358.2021.9484359

DO - 10.1109/IJCB52358.2021.9484359

M3 - Conference contribution

AN - SCOPUS:85113306913

T3 - 2021 IEEE International Joint Conference on Biometrics, IJCB 2021

BT - 2021 IEEE International Joint Conference on Biometrics, IJCB 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Joint Conference on Biometrics, IJCB 2021

Y2 - 4 August 2021 through 7 August 2021

ER -

Purnapatra S, Smalt N, Bahmani K, Das P, Yambay D, Mohammadi A et al. Face Liveness Detection Competition (LivDet-Face)-2021. In 2021 IEEE International Joint Conference on Biometrics, IJCB 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9484359. (2021 IEEE International Joint Conference on Biometrics, IJCB 2021). doi: 10.1109/IJCB52358.2021.9484359

Face Liveness Detection Competition (LivDet-Face)-2021

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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