OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions

Pedro C. Neto; Fadi Boutros; Joao Ribeiro Pinto; Naser Damer; Ana F. Sequeira; Jaime S. Cardoso; Messaoud Bengherabi; Abderaouf Bousnat; Sana Boucheta; Nesrine Hebbadj; Mustafa Ekrem Erakin; Ugur Demir; Hazim Kemal Ekenel; Pedro Beber De Queiroz Vidal; David Menotti

doi:10.1109/IJCB54206.2022.10007963

OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions

Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto, Naser Damer, Ana F. Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Pedro Beber De Queiroz Vidal, David Menotti

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated by the organizers. The competition was held to address the challenge of face recognition in the presence of severe face occlusions. The participants were free to use any training data and the testing data was built by the organisers by synthetically occluding parts of the face images using a well-known dataset. The submitted solutions presented innovations and performed very competitively with the considered baseline. A major output of this competition is a challenging, realistic, and diverse, and publicly available occluded face recognition benchmark with well defined evaluation protocols.

Original language	English
Title of host publication	2022 IEEE International Joint Conference on Biometrics, IJCB 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665463942
DOIs	https://doi.org/10.1109/IJCB54206.2022.10007963
Publication status	Published - 2022
Event	2022 IEEE International Joint Conference on Biometrics, IJCB 2022 - Abu Dhabi, United Arab Emirates Duration: 10 Oct 2022 → 13 Oct 2022

Publication series

Name	2022 IEEE International Joint Conference on Biometrics, IJCB 2022

Conference

Conference	2022 IEEE International Joint Conference on Biometrics, IJCB 2022
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	10/10/22 → 13/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

This work was financed by National Funds through the Portuguese funding agency, FCT - Fundac¸ão para a Ciência e a Tecnologia within project LA/P/0063/2020, and within the PhD grants “2021.06872.BD” and “SFRH/BD/137720/2018”. This research work has been also partially funded by the German Federal Ministry of Education and Research and the Hessen State Ministry for Higher Education, Research and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE.

Funders	Funder number
National Research Center for Applied Cybersecurity ATHENE
Fundação para a Ciência e a Tecnologia	SFRH/BD/137720/2018, LA/P/0063/2020
Bundesministerium für Bildung und Forschung
Hessisches Ministerium für Wissenschaft und Kunst

Access to Document

10.1109/IJCB54206.2022.10007963

Cite this

Neto, P. C., Boutros, F., Pinto, J. R., Damer, N., Sequeira, A. F., Cardoso, J. S., Bengherabi, M., Bousnat, A., Boucheta, S., Hebbadj, N., Erakin, M. E., Demir, U., Ekenel, H. K., De Queiroz Vidal, P. B., & Menotti, D. (2022). OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. In 2022 IEEE International Joint Conference on Biometrics, IJCB 2022 (2022 IEEE International Joint Conference on Biometrics, IJCB 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCB54206.2022.10007963

@inproceedings{ed17c47f08aa46babc554df314536b7e,

title = "OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions",

abstract = "This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated by the organizers. The competition was held to address the challenge of face recognition in the presence of severe face occlusions. The participants were free to use any training data and the testing data was built by the organisers by synthetically occluding parts of the face images using a well-known dataset. The submitted solutions presented innovations and performed very competitively with the considered baseline. A major output of this competition is a challenging, realistic, and diverse, and publicly available occluded face recognition benchmark with well defined evaluation protocols.",

author = "Neto, {Pedro C.} and Fadi Boutros and Pinto, {Joao Ribeiro} and Naser Damer and Sequeira, {Ana F.} and Cardoso, {Jaime S.} and Messaoud Bengherabi and Abderaouf Bousnat and Sana Boucheta and Nesrine Hebbadj and Erakin, {Mustafa Ekrem} and Ugur Demir and Ekenel, {Hazim Kemal} and {De Queiroz Vidal}, {Pedro Beber} and David Menotti",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Joint Conference on Biometrics, IJCB 2022 ; Conference date: 10-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/IJCB54206.2022.10007963",

language = "English",

series = "2022 IEEE International Joint Conference on Biometrics, IJCB 2022",

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

booktitle = "2022 IEEE International Joint Conference on Biometrics, IJCB 2022",

address = "United States",

}

Neto, PC, Boutros, F, Pinto, JR, Damer, N, Sequeira, AF, Cardoso, JS, Bengherabi, M, Bousnat, A, Boucheta, S, Hebbadj, N, Erakin, ME, Demir, U, Ekenel, HK, De Queiroz Vidal, PB & Menotti, D 2022, OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. in 2022 IEEE International Joint Conference on Biometrics, IJCB 2022. 2022 IEEE International Joint Conference on Biometrics, IJCB 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Joint Conference on Biometrics, IJCB 2022, Abu Dhabi, United Arab Emirates, 10/10/22. https://doi.org/10.1109/IJCB54206.2022.10007963

OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. / Neto, Pedro C.; Boutros, Fadi; Pinto, Joao Ribeiro et al.
2022 IEEE International Joint Conference on Biometrics, IJCB 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Joint Conference on Biometrics, IJCB 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - OCFR 2022

T2 - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022

AU - Neto, Pedro C.

AU - Boutros, Fadi

AU - Pinto, Joao Ribeiro

AU - Damer, Naser

AU - Sequeira, Ana F.

AU - Cardoso, Jaime S.

AU - Bengherabi, Messaoud

AU - Bousnat, Abderaouf

AU - Boucheta, Sana

AU - Hebbadj, Nesrine

AU - Erakin, Mustafa Ekrem

AU - Demir, Ugur

AU - Ekenel, Hazim Kemal

AU - De Queiroz Vidal, Pedro Beber

AU - Menotti, David

PY - 2022

Y1 - 2022

N2 - This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated by the organizers. The competition was held to address the challenge of face recognition in the presence of severe face occlusions. The participants were free to use any training data and the testing data was built by the organisers by synthetically occluding parts of the face images using a well-known dataset. The submitted solutions presented innovations and performed very competitively with the considered baseline. A major output of this competition is a challenging, realistic, and diverse, and publicly available occluded face recognition benchmark with well defined evaluation protocols.

AB - This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated by the organizers. The competition was held to address the challenge of face recognition in the presence of severe face occlusions. The participants were free to use any training data and the testing data was built by the organisers by synthetically occluding parts of the face images using a well-known dataset. The submitted solutions presented innovations and performed very competitively with the considered baseline. A major output of this competition is a challenging, realistic, and diverse, and publicly available occluded face recognition benchmark with well defined evaluation protocols.

UR - http://www.scopus.com/inward/record.url?scp=85144822677&partnerID=8YFLogxK

U2 - 10.1109/IJCB54206.2022.10007963

DO - 10.1109/IJCB54206.2022.10007963

M3 - Conference contribution

AN - SCOPUS:85144822677

T3 - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022

BT - 2022 IEEE International Joint Conference on Biometrics, IJCB 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 October 2022 through 13 October 2022

ER -

Neto PC, Boutros F, Pinto JR, Damer N, Sequeira AF, Cardoso JS et al. OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. In 2022 IEEE International Joint Conference on Biometrics, IJCB 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Joint Conference on Biometrics, IJCB 2022). doi: 10.1109/IJCB54206.2022.10007963

OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions

Abstract

Publication series

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Bibliographical note

Funding

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