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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2022 IEEE International Joint Conference on Biometrics, IJCB 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665463942
DOIs
StatePublished - 2022
Event2022 IEEE International Joint Conference on Biometrics, IJCB 2022 - Abu Dhabi, United Arab Emirates
Duration: Oct 10 2022Oct 13 2022

Publication series

Name2022 IEEE International Joint Conference on Biometrics, IJCB 2022

Conference

Conference2022 IEEE International Joint Conference on Biometrics, IJCB 2022
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period10/10/2210/13/22

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Instrumentation

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