Publication Details
Facial Image Reconstruction and its Influence to Face Recognition
PLEŠKO, F.; GOLDMANN, T.; MALINKA, K. Facial Image Reconstruction and its Influence to Face Recognition. 2023 International Conference of the Biometrics Special Interest Group (BIOSIG). Darmstadt: Society for Informatics, 2023. p. 1-4. ISBN: 979-8-3503-3655-9.
Czech title
Rekonstrukce snímku obličeje a její vliv na rozpoznávání
Type
conference paper
Language
English
Authors
URL
Keywords
face recognition, neural network, face reconstruction, generativní adversariální
síť, SFace, ArcFace, QMagFace
Abstract
This paper focuses on reconstructing damaged facial images using GAN neural
networks. In addition, the effect of generating the missing part of the face on
face recognition is investigated. The main objective of this work is to observe
whether it is possible to increase the accuracy of face recognition by generating
missing parts while maintaining a low false accept rate (FAR). A new model for
generating the missing parts of a face has been proposed. For face-based
recognition, state-of-the-art solutions from the DeepFace library and the
QMagFace solution have been used.
Published
2023
Pages
1–4
Proceedings
2023 International Conference of the Biometrics Special Interest Group (BIOSIG)
Conference
22nd International Conference of the Biometrics Special Interest Group, Darmstadt, DE
ISBN
979-8-3503-3655-9
Publisher
Society for Informatics
Place
Darmstadt
DOI
BibTeX
@inproceedings{BUT186943,
author="Filip {Pleško} and Tomáš {Goldmann} and Kamil {Malinka}",
title="Facial Image Reconstruction and its Influence to Face Recognition",
booktitle="2023 International Conference of the Biometrics Special Interest Group (BIOSIG)",
year="2023",
pages="1--4",
publisher="Society for Informatics",
address="Darmstadt",
doi="10.1109/BIOSIG58226.2023",
isbn="979-8-3503-3655-9",
url="https://ieeexplore.ieee.org/document/10346000"
}