Thesis Details

Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře

Bachelor's Thesis Student: Mikundová Lea Academic Year: 2014/2015 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.

English title

Biometric 2D face recognition from camera system placed on a quadrocopter

Language

Czech

Abstract

This Bc. thesis is devoted to face recognization from camera system placed on a quadrocopter. The teoretical part is about the most used methods for detection and face recognition and their comparison. The next part is about motion capturing from quadrocopter. Practical part of thesis is devoted to implementation of algorithms for face detection and recognization by OpenCV library and evaluation of algorithm in respect to distance and angle of quadrocopter due to captured person.

Keywords

biometrics, face detection, face recognition, quadrocopter, OpenCV, Eigenfaces, FisherFaces, Local Binary Patterns Histograms

Department

Department of Intelligent Systems FIT BUT

Degree Programme

Information Technology

Files

Thesis text 9.2 MB

Status

defended, grade B

Date

18 June 2015

Reviewer

Mráček Štěpán, Ing.

Committee

Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), předseda
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), člen
Šátek Václav, Ing., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen

Citation

MIKUNDOVÁ, Lea. Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-18. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/11802/

BibTeX

@bachelorsthesis{FITBT11802,
    author = "Lea Mikundov\'{a}",
    type = "Bachelor's thesis",
    title = "Biometrick\'{e} rozpozn\'{a}v\'{a}n\'{i} 2D obli\v{c}eje z kamerov\'{e}ho syst\'{e}mu um\'{i}st\v{e}n\'{e}ho na kvadrokopt\'{e}\v{r}e",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/11802/"
}

Theses