Thesis Details

Accelerating Face Anti-Spoofing Algorithms

Bachelor's Thesis Student: Beňuš Ondřej Academic Year: 2014/2015 Supervisor: Veselý Karel, Ing., Ph.D.
Czech title
Accelerating Face Anti-Spoofing Algorithms
Language
English
Abstract

This thesis is specializes on algorithm acceleration from the field of face-based anti-spoofing. Graphics hardware is used as platform for data-parallel processing. As framework, the OpenCL is used. It allows execution on devices such as powerful desktop computers or hand-held devices as well as usage of different kind of processing units such as GPU, ASIC or CPU without any bound to hardware vendor or operating system. Author presents to reader analysis and accelerated implementation of widely used algorithm and impact of such improvement in execution time.

Keywords

GPGPU, OpenCL, biometry, face recognition, anti-spoofing, LBP, LBP-TOP

Department
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
24 August 2015
Reviewer
Committee
Citation
BEŇUŠ, Ondřej. Accelerating Face Anti-Spoofing Algorithms. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-08-24. Supervised by Veselý Karel. Available from: https://www.fit.vut.cz/study/thesis/17930/
BibTeX
@bachelorsthesis{FITBT17930,
    author = "Ond\v{r}ej Be\v{n}u\v{s}",
    type = "Bachelor's thesis",
    title = "Accelerating Face Anti-Spoofing Algorithms",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/17930/"
}
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