Publikationen

Autor	Neto, Pedro C.; Boutros, Fadi; Pinto, Joao Ribeiro; Damer, Naser; Sequeira, Ana F.; Cardoso, Jaime S.; Bengherabi, Messaoud; Bousnat, Abderaouf; Boucheta, Sana; Hebbadj, Nesrine; Erakin, Mustafa Ekrem; Ugur Demir; Vidal, Pedro Beber De Queiroz; Ekenel, Hazim Kemal; Menotti, David
Datum	2022
Art	Conference Paper
Abstrakt	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.
Konferenz	International Joint Conference on Biometrics 2022
ISBN	978-1-6654-6394-2
Publisher	IEEE
Projekt	Next Generation Biometric Systems
Url	https://publica.fraunhofer.de/handle/publica/435899

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