Facial Image Reconstruction and its Influence to Face Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU150052" target="_blank" >RIV/00216305:26230/23:PU150052 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10346000" target="_blank" >https://ieeexplore.ieee.org/document/10346000</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Facial Image Reconstruction and its Influence to Face Recognition
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů