Thesis Details

Detekce obličeje

Bachelor's Thesis Student: Štrba Miroslav Academic Year: 2007/2008 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Face Detection
Language
Czech
Abstract

This bachelor thesis contains overview of actual face detection methods using classifier. It also contains description of creating system for face detection. There are described different methods for classifier training in first part. There is analysis, which preceded creation of system focused on black-and-white picture, in second part. Implemented system is using WaldBoost algorithm and Haar features. There is option to use particle filter in video.

Keywords

face detection, classifier, AdaBoost, WaldBoost, Haar features, particle filter, non-maxima suppression

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
10 June 2008
Reviewer
Juránek Roman, Ing., Ph.D.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Herout Pavel, doc. Ing., Ph.D. (WBU in Pilsen), člen
Lukáš Roman, Ing., Ph.D. (DIFS FIT BUT), člen
Martinek David, Ing. (DIFS FIT BUT), člen
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), člen
Citation
ŠTRBA, Miroslav. Detekce obličeje. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-10. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/6481/
BibTeX 
@bachelorsthesis{FITBT6481,
    author = "Miroslav \v{S}trba",
    type = "Bachelor's thesis",
    title = "Detekce obli\v{c}eje",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/6481/"
}

Theses

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