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master's thesis
Automatsko raspoznavanje lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:688706
Renić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Renić, I. (2015). Automatsko raspoznavanje lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:688706

Renić, Ivan. "Automatsko raspoznavanje lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:688706

Renić, Ivan. "Automatsko raspoznavanje lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:688706

Renić, I. (2015). 'Automatsko raspoznavanje lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:688706

Renić I. Automatsko raspoznavanje lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 July 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:688706

I. Renić, "Automatsko raspoznavanje lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:688706

Metadata
TitleAutomatsko raspoznavanje lica
Title (english)Automatic face recognition
AuthorIvan Renić
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberLea Skorin-Kapov (član povjerenstva)
Committee memberAleksandra Čereković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-02-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad daje pregled trenutnog stanja područja automatskog raspoznavanja lica uz fokus na nekoliko najpopularnijih metoda koje omogućavaju računalnu identifikaciju lica – vektorska udaljenost između značajki, shape units, normalized cross correllation, PCA te LBP metoda. Metode su predstavljene na teorijskoj razini, nakon čega su prikazane i neke od dostupnih baza slika lica. Implementacija je izvedena u C++ programskom jeziku uz korištenje OpenCV i VisageSDK programskih alata te Labeled Faces in the Wild bazu podataka, a koraci implementacije prikazani su u sklopu ovog rada. Rezultati testiranja opisanih metoda također su prikazani i komentirani.
Abstract (english)
This paper provides an overview of the state in the field of facial recognition, with focus on some of the more popular methods used in the field – vector distance between facial features, shape units, normalized cross correllation, principal component analysis and local binary pattern methods. The methods are described on a theoretical level, followed by an overview of some of the available databases related to facial recognition. The described methods have been tested against the Labeled Faces in the Wild database by developing a test environment in C++ with the use of OpenCV and VisageSDK tools. Development steps have been presented, as well as the results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:688706
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-14 00:25:51