A competition on generalized software-based face presentation attack detection in mobile scenarios

Z. Boulkenafet; J. Komulainen; Z. Akhtar; A. Benlamoudi; D. Samai; S. E. Bekhouche; A. Ouafi; F. Dornaika; A. Taleb-Ahmed; L. Qin; F. Peng; L. B. Zhang; M. Long; S. Bhilare; V. Kanhangad; A. Costa-Pazo; E. Vazquez-Fernandez; D. Pérez-Cabo; J. J. Moreira-Pérez; D. González-Jiménez; A. Mohammadi; S. Bhattacharjee; S. Marcel; S. Volkova; Y. Tang; N. Abe; L. Li; X. Feng; Z. Xia; X. Jiang; S. Liu; R. Shao; P. C. Yuen; W. R. Almeida; F. Andaló; R. Padilha; G. Bertocco; W. Dias; J. Wainer; R. Torres; A. Rocha; M. A. Angeloni; G. Folego; A. Godoy; A. Hadid

doi:10.1109/BTAS.2017.8272758

A competition on generalized software-based face presentation attack detection in mobile scenarios

Z. Boulkenafet, J. Komulainen, Z. Akhtar, A. Benlamoudi, D. Samai, S. E. Bekhouche, A. Ouafi, F. Dornaika, A. Taleb-Ahmed, L. Qin, F. Peng, L. B. Zhang, M. Long, S. Bhilare, V. Kanhangad, A. Costa-Pazo, E. Vazquez-Fernandez, D. Pérez-Cabo, J. J. Moreira-Pérez, D. González-JiménezA. Mohammadi, S. Bhattacharjee, S. Marcel, S. Volkova, Y. Tang, N. Abe, L. Li, X. Feng, Z. Xia, X. Jiang, S. Liu, R. Shao, P. C. Yuen, W. R. Almeida, F. Andaló, R. Padilha, G. Bertocco, W. Dias, J. Wainer, R. Torres, A. Rocha, M. A. Angeloni, G. Folego, A. Godoy, A. Hadid

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科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

123 引用（Scopus）

摘要

In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics. Thirteen teams from academic and industrial institutions across the world participated in this competition. This time typical liveness detection based on physiological signs of life was totally discarded. Instead, every submitted system relies practically on some sort of feature representation extracted from the face and/or background regions using hand-crafted, learned or hybrid descriptors. Interesting results and findings are presented and discussed in this paper.

源语言	英语
主期刊名	IEEE International Joint Conference on Biometrics, IJCB 2017
出版商	Institute of Electrical and Electronics Engineers Inc.
页	688-696
页数	9
ISBN（电子版）	9781538611241
DOI	https://doi.org/10.1109/BTAS.2017.8272758
出版状态	已出版 - 1 7月 2017
活动	2017 IEEE International Joint Conference on Biometrics, IJCB 2017 - Denver, 美国期限: 1 10月 2017 → 4 10月 2017

出版系列

姓名	IEEE International Joint Conference on Biometrics, IJCB 2017
卷	2018-January

会议

会议	2017 IEEE International Joint Conference on Biometrics, IJCB 2017
国家/地区	美国
市	Denver
时期	1/10/17 → 4/10/17

访问文件

10.1109/BTAS.2017.8272758

其它文件与链接

链接到 Scopus 的出版物

引用此

Boulkenafet, Z., Komulainen, J., Akhtar, Z., Benlamoudi, A., Samai, D., Bekhouche, S. E., Ouafi, A., Dornaika, F., Taleb-Ahmed, A., Qin, L., Peng, F., Zhang, L. B., Long, M., Bhilare, S., Kanhangad, V., Costa-Pazo, A., Vazquez-Fernandez, E., Pérez-Cabo, D., Moreira-Pérez, J. J., ... Hadid, A. (2017). A competition on generalized software-based face presentation attack detection in mobile scenarios. 在 IEEE International Joint Conference on Biometrics, IJCB 2017 (页码 688-696). (IEEE International Joint Conference on Biometrics, IJCB 2017; 卷 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2017.8272758

@inproceedings{e2ba9f2d38664a9b9ea1a8bf827fefaf,

title = "A competition on generalized software-based face presentation attack detection in mobile scenarios",

abstract = "In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics. Thirteen teams from academic and industrial institutions across the world participated in this competition. This time typical liveness detection based on physiological signs of life was totally discarded. Instead, every submitted system relies practically on some sort of feature representation extracted from the face and/or background regions using hand-crafted, learned or hybrid descriptors. Interesting results and findings are presented and discussed in this paper.",

author = "Z. Boulkenafet and J. Komulainen and Z. Akhtar and A. Benlamoudi and D. Samai and Bekhouche, {S. E.} and A. Ouafi and F. Dornaika and A. Taleb-Ahmed and L. Qin and F. Peng and Zhang, {L. B.} and M. Long and S. Bhilare and V. Kanhangad and A. Costa-Pazo and E. Vazquez-Fernandez and D. P{\'e}rez-Cabo and Moreira-P{\'e}rez, {J. J.} and D. Gonz{\'a}lez-Jim{\'e}nez and A. Mohammadi and S. Bhattacharjee and S. Marcel and S. Volkova and Y. Tang and N. Abe and L. Li and X. Feng and Z. Xia and X. Jiang and S. Liu and R. Shao and Yuen, {P. C.} and Almeida, {W. R.} and F. Andal{\'o} and R. Padilha and G. Bertocco and W. Dias and J. Wainer and R. Torres and A. Rocha and Angeloni, {M. A.} and G. Folego and A. Godoy and A. Hadid",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Joint Conference on Biometrics, IJCB 2017 ; Conference date: 01-10-2017 Through 04-10-2017",

year = "2017",

month = jul,

day = "1",

doi = "10.1109/BTAS.2017.8272758",

language = "英语",

series = "IEEE International Joint Conference on Biometrics, IJCB 2017",

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

pages = "688--696",

booktitle = "IEEE International Joint Conference on Biometrics, IJCB 2017",

}

Boulkenafet, Z, Komulainen, J, Akhtar, Z, Benlamoudi, A, Samai, D, Bekhouche, SE, Ouafi, A, Dornaika, F, Taleb-Ahmed, A, Qin, L, Peng, F, Zhang, LB, Long, M, Bhilare, S, Kanhangad, V, Costa-Pazo, A, Vazquez-Fernandez, E, Pérez-Cabo, D, Moreira-Pérez, JJ, González-Jiménez, D, Mohammadi, A, Bhattacharjee, S, Marcel, S, Volkova, S, Tang, Y, Abe, N, Li, L, Feng, X , Xia, Z, Jiang, X, Liu, S, Shao, R, Yuen, PC, Almeida, WR, Andaló, F, Padilha, R, Bertocco, G, Dias, W, Wainer, J, Torres, R, Rocha, A, Angeloni, MA, Folego, G, Godoy, A & Hadid, A 2017, A competition on generalized software-based face presentation attack detection in mobile scenarios. 在 IEEE International Joint Conference on Biometrics, IJCB 2017. IEEE International Joint Conference on Biometrics, IJCB 2017, 卷 2018-January, Institute of Electrical and Electronics Engineers Inc., 页码 688-696, 2017 IEEE International Joint Conference on Biometrics, IJCB 2017, Denver, 美国, 1/10/17. https://doi.org/10.1109/BTAS.2017.8272758

A competition on generalized software-based face presentation attack detection in mobile scenarios. / Boulkenafet, Z.; Komulainen, J.; Akhtar, Z. 等.
IEEE International Joint Conference on Biometrics, IJCB 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 688-696 (IEEE International Joint Conference on Biometrics, IJCB 2017; 卷 2018-January).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A competition on generalized software-based face presentation attack detection in mobile scenarios

AU - Boulkenafet, Z.

AU - Komulainen, J.

AU - Akhtar, Z.

AU - Benlamoudi, A.

AU - Samai, D.

AU - Bekhouche, S. E.

AU - Ouafi, A.

AU - Dornaika, F.

AU - Taleb-Ahmed, A.

AU - Qin, L.

AU - Peng, F.

AU - Zhang, L. B.

AU - Long, M.

AU - Bhilare, S.

AU - Kanhangad, V.

AU - Costa-Pazo, A.

AU - Vazquez-Fernandez, E.

AU - Pérez-Cabo, D.

AU - Moreira-Pérez, J. J.

AU - González-Jiménez, D.

AU - Mohammadi, A.

AU - Bhattacharjee, S.

AU - Marcel, S.

AU - Volkova, S.

AU - Tang, Y.

AU - Abe, N.

AU - Li, L.

AU - Feng, X.

AU - Xia, Z.

AU - Jiang, X.

AU - Liu, S.

AU - Shao, R.

AU - Yuen, P. C.

AU - Almeida, W. R.

AU - Andaló, F.

AU - Padilha, R.

AU - Bertocco, G.

AU - Dias, W.

AU - Wainer, J.

AU - Torres, R.

AU - Rocha, A.

AU - Angeloni, M. A.

AU - Folego, G.

AU - Godoy, A.

AU - Hadid, A.

PY - 2017/7/1

Y1 - 2017/7/1

N2 - In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics. Thirteen teams from academic and industrial institutions across the world participated in this competition. This time typical liveness detection based on physiological signs of life was totally discarded. Instead, every submitted system relies practically on some sort of feature representation extracted from the face and/or background regions using hand-crafted, learned or hybrid descriptors. Interesting results and findings are presented and discussed in this paper.

AB - In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics. Thirteen teams from academic and industrial institutions across the world participated in this competition. This time typical liveness detection based on physiological signs of life was totally discarded. Instead, every submitted system relies practically on some sort of feature representation extracted from the face and/or background regions using hand-crafted, learned or hybrid descriptors. Interesting results and findings are presented and discussed in this paper.

UR - http://www.scopus.com/inward/record.url?scp=85046265698&partnerID=8YFLogxK

U2 - 10.1109/BTAS.2017.8272758

DO - 10.1109/BTAS.2017.8272758

M3 - 会议稿件

AN - SCOPUS:85046265698

T3 - IEEE International Joint Conference on Biometrics, IJCB 2017

SP - 688

EP - 696

BT - IEEE International Joint Conference on Biometrics, IJCB 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Joint Conference on Biometrics, IJCB 2017

Y2 - 1 October 2017 through 4 October 2017

ER -

Boulkenafet Z, Komulainen J, Akhtar Z, Benlamoudi A, Samai D, Bekhouche SE 等. A competition on generalized software-based face presentation attack detection in mobile scenarios. 在 IEEE International Joint Conference on Biometrics, IJCB 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 688-696. (IEEE International Joint Conference on Biometrics, IJCB 2017). doi: 10.1109/BTAS.2017.8272758

A competition on generalized software-based face presentation attack detection in mobile scenarios

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此