Thesis Details

Detekce odpovídajících si bodů ve dvou fotografiích

Bachelor's Thesis Student: Ptašek Martin Academic Year: 2007/2008 Supervisor: Španěl Michal, Ing., Ph.D.

English title

Detection of Corresponding Points in Images

Language

Czech

Abstract

Bachelor thesis is concerned with detection of corresponding points in two digital images. It summarises and describes basic, new and modern methods of detection of interest points. It also describes methods for determinating equivalence of image parts. Work itself includes design of application and describes implementation of corresponding points detector based on segmentation method MSER. Application was written in C programming language and uses Open CV graphic library under Windows XP operating system. Results that summarise characteristics of detector illustrate potential of chosen methods.

Keywords

MSER, image, interest point, detection, equivalence

Department

Department of Computer Graphics and Multimedia FIT BUT

Degree Programme

Information Technology

Files

Thesis text 838 kB

Status

defended, grade A

Date

14 February 2008

Reviewer

Beran Vítězslav, doc. Ing., Ph.D.

Committee

Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), předseda
Kršek Přemysl, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Martinek David, Ing. (DIFS FIT BUT), člen
Motyčka Arnošt, doc. Ing., CSc. (Mendelu), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen

Citation

PTAŠEK, Martin. Detekce odpovídajících si bodů ve dvou fotografiích. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-02-14. Supervised by Španěl Michal. Available from: https://www.fit.vut.cz/study/thesis/6292/

BibTeX

@bachelorsthesis{FITBT6292,
    author = "Martin Pta\v{s}ek",
    type = "Bachelor's thesis",
    title = "Detekce odpov\'{i}daj\'{i}c\'{i}ch si bod\r{u} ve dvou fotografi\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/6292/"
}

Theses