Materials (subset list of VGGFace2, list of ID compliant face images selected from FRGC_V2, 1-1 verification protocols) from the paper: QualFace: Adapting Deep Learning Face Recognition for ID and Travel Documents with Quality Assessment. João Tremoço, Iurii Medvedev, Nuno Gonçalves.
The work Is supported by The Portuguese Mint and Official Printing Office (INCM)
And Institute of Systems and Robotics of University of Coimbra (ISR UC)
If you find the result of this work usefull in your research, please consider to cite the following papers:
@inproceedings{TremocoMG21,
author = {Jo{\~{a}}o Tremo{\c{c}}o and
Iurii Medvedev and
Nuno Gon{\c{c}}alves},
editor = {Arslan Br{\"{o}}mme and
Christoph Busch and
Naser Damer and
Antitza Dantcheva and
Marta Gomez{-}Barrero and
Kiran B. Raja and
Christian Rathgeb and
Ana F. Sequeira and
Andreas Uhl},
title = {QualFace: Adapting Deep Learning Face Recognition for {ID} and Travel
Documents with Quality Assessment},
booktitle = {Proceedings of the 20th International Conference of the Biometrics
Special Interest Group, {BIOSIG} 2021, Digital Conference, September
15-17, 2021},
series = {{LNI}},
volume = {{P-315}},
pages = {147--158},
publisher = {Gesellschaft f{\"{u}}r Informatik e.V.},
year = {2021},
url = {https://dl.gi.de/20.500.12116/37449},
doi = {10.1109/BIOSIG52210.2021.9548309},
}