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  • P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
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Soft-Biometrics Estimation In the Era of Facial Masks

Author:
Alonso-Fernandez, Fernando [DBLP] ;
Diaz, Kevin Hernandez [DBLP] ;
Ramis, Silvia [DBLP] ;
Perales, Francisco J. [DBLP] ;
Bigun, Josef [DBLP]
Abstract
We analyze the use of images from face parts to estimate soft-biometrics indicators. Partial face occlusion is common in unconstrained scenarios, and it has become mainstream during the COVID-19 pandemic due to the use of masks. Here, we apply existing pre-trained CNN architectures, proposed in the context of the ImageNet Large Scale Visual Recognition Challenge, to the tasks of gender, age, and ethnicity estimation. Experiments are done with 12007 images from the Labeled Faces in the Wild (LFW) database. We show that such off-the-shelf features can effectively estimate soft-biometrics indicators using only the ocular region. For completeness, we also evaluate images showing only the mouth region. In overall terms, the network providing the best accuracy only suffers accuracy drops of 2-4% when using the ocular region, in comparison to using the entire face. Our approach is also shown to outperform in several tasks two commercial off-the-shelf systems (COTS) that employ the whole face, even if we only use the eye or mouth regions.
  • Citation
  • BibTeX
Alonso-Fernandez, F., Diaz, K. H., Ramis, S., Perales, F. J. & Bigun, J., (2020). Soft-Biometrics Estimation In the Era of Facial Masks. In: Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Bonn: Gesellschaft für Informatik e.V.. (S. 11-19).
@inproceedings{mci/Alonso-Fernandez2020,
author = {Alonso-Fernandez, Fernando AND Diaz, Kevin Hernandez AND Ramis, Silvia AND Perales, Francisco J. AND Bigun, Josef},
title = {Soft-Biometrics Estimation In the Era of Facial Masks},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 11-19 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info

ISBN: 978-3-88579-700-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Soft-Biometrics
  • Periocular
  • Gender
  • Age
  • Ethnicity
Collections
  • P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group [33]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.