Thesis Details

Detekce živosti obličeje pomocí 2D kamery

Bachelor's Thesis Student: Valo Ondrej Academic Year: 2020/2021 Supervisor: Goldmann Tomáš, Ing.
Language
Slovak
Abstract

Facial recognition is one of the most socially accepted forms of biometric recognition. The recent availability of highly accurate and efficient face recognition algorithms leaves vulnerability to presentation attacks as a major challenge for face recognition solutions. This work deals with the explanation of the issues related to the detection of facial liveliness, which will help to understand the various possibilities of attack and their relationship to existing solutions. And the implementation of an algorithm that recognizes the liveliness of the face based on videos.

Keywords

liveness detection, convolutional neural network, face recognition,facial detection, CNN, deep learning

Department
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
14 June 2021
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Citation
VALO, Ondrej. Detekce živosti obličeje pomocí 2D kamery. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-14. Supervised by Goldmann Tomáš. Available from: https://www.fit.vut.cz/study/thesis/23850/
BibTeX
@bachelorsthesis{FITBT23850,
    author = "Ondrej Valo",
    type = "Bachelor's thesis",
    title = "Detekce \v{z}ivosti obli\v{c}eje pomoc\'{i} 2D kamery",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/23850/"
}
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