Thesis Details

Rozpoznávání tváří

Master's Thesis Student: Benda Tomáš Academic Year: 2016/2017 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Face Recognition
Language
Czech
Abstract

This thesis deals with human recognition on a videorecording. Convolution neural network was used for face recognition, from which we will get multidimensional vector, which will allow to determine person’s identity. There are demands imposed on the system, for it to be able to work in real time and could be used for example for person recognition at various conferences, or as a part of security system. Whole system is written in Python language. Part of this thesis is dataset in form of videorecords with persons.

Keywords

convolutional neural network, face recognition, face detection, classification

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade D
Date
19 June 2017
Reviewer
Hradiš Michal, Ing., Ph.D.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Polášek Ivan, doc. Ing., Ph.D. (FIIT STU), člen
Citation
BENDA, Tomáš. Rozpoznávání tváří. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-19. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/19775/
BibTeX 
@mastersthesis{FITMT19775,
    author = "Tom\'{a}\v{s} Benda",
    type = "Master's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} tv\'{a}\v{r}\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19775/"
}

Theses

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