Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Abstrakt

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.

Klíčová slova

face recognition, neural network, face reconstruction, generativní adversariální síť, SFace, ArcFace, QMagFace

URL
Rok
2023
Strany
1–4
Sborník
2023 International Conference of the Biometrics Special Interest Group (BIOSIG)
Konference
22nd International Conference of the Biometrics Special Interest Group
ISBN
979-8-3503-3655-9
Vydavatel
Society for Informatics
Místo
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"
}
Projekty
Reliable, Secure, and Intelligent Computer Systems, VUT, Vnitřní projekty VUT, FIT-S-23-8151, zahájení: 2023-03-01, ukončení: 2026-02-28, řešení
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