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  4. OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions
 
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2022
Conference Paper
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(s)
Neto, Pedro C.
INESC TEC
Boutros, Fadi  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Pinto, Joao Ribeiro
University of Porto  
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Sequeira, Ana F.
INESC TEC
Bengherabi, Messaoud
CDTA Centre de Developpement des Technologies Avancees
Cardoso, Jaime S.
University of Porto  
Bousnat, Abderaouf
ESI Ecole Nationale Superieure d’Informatique
Boucheta, Sana
ESI Ecole Nationale Superieure d’Informatique
Hebbadj, Nesrine
ESI Ecole Nationale Superieure d’Informatique
Erakin, Mustafa Ekrem
Istanbul Technical University  
Demir, Ugur
Istanbul Technical University  
Vidal, Pedro Beber De Queiroz
Federal University of Parana
Menotti, David
Federal University of Parana
Ekenel, Hazim Kemal
Istanbul Technical University  
Mainwork
IEEE International Joint Conference on Biometrics, IJCB 2022  
Project(s)
Next Generation Biometric Systems  
Next Generation Biometric Systems  
Funder
Bundesministerium für Bildung und Forschung -BMBF-
Hessisches Ministerium für Wissenschaft und Kunst
Conference
International Joint Conference on Biometrics 2022  
DOI
10.1109/IJCB54206.2022.10007963
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Information Technology

  • Research Line: Computer vision (CV)

  • Research Line: Machine learning (ML)

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • Biometrics

  • Machine learning

  • Deep learning

  • Face recognition

  • Research challenges

  • ATHENE

  • CRISP

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