Algoritmi za prepoznavanja lica

Zubalić, Patricija

prikaz prve stranice dokumenta Algoritmi za prepoznavanja lica

Access restricted to students and staff of home institution

master's thesis

Algoritmi za prepoznavanja lica

Rijeka: University of Rijeka, Faculty of Engineering, 2019. urn:nbn:hr:190:282331

Zubalić, Patricija

University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Signals and Systems

Cite this document

APA 6th Edition

Zubalić, P. (2019). Algoritmi za prepoznavanja lica (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:282331

MLA 8th Edition

Zubalić, Patricija. "Algoritmi za prepoznavanja lica." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:282331

Chicago 17th Edition

Zubalić, Patricija. "Algoritmi za prepoznavanja lica." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:282331

Harvard

Zubalić, P. (2019). 'Algoritmi za prepoznavanja lica', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:282331

Vancouver

Zubalić P. Algoritmi za prepoznavanja lica [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:190:282331

IEEE

P. Zubalić, "Algoritmi za prepoznavanja lica", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:282331

Cite this item: https://urn.nsk.hr/urn:nbn:hr:190:282331

Please login to the repository to save this object to your list.

Metadata

Title	Algoritmi za prepoznavanja lica
Author	Patricija Zubalić
Mentor	Jonatan Lerga (mentor)
Committee member	Kristijan Lenac (predsjednik povjerenstva)
Committee member	Ivo Ipšić (član povjerenstva)
Committee member	Goran Mauša (član povjerenstva)
Granter	University of Rijeka Faculty of Engineering (Department of Automation and Electronics) (Section of Signals and Systems) Rijeka
Defense date and country	2019-09-19, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	U ovom diplomskom radu detaljno su opisane faze treniranja i testiranja Viola - Jones algoritma za detekciju lica. Detekcija lica prvi je korak za prepoznavanje lica. Najprije se treba detektirati lice, nakon toga se moraju deﬁnirati njegove osobne značajke, a potom ga se može identiﬁcirati. Algoritam Histogrami lokalnih binarnih značajki (engl. Local binary patterns histograms) je jedan od algoritama za prepoznavanje lica dostupan unutar knjižnice OpenCV, koja je namijenjena područjima računalnog vida i strojnog učenja. Prednost tog algoritma u odnosu na ostale je da postiže dobro prepoznavanje neovisno o slabom osvjetljenju ili njegovoj promjeni.
Abstract (english)	This master’s thesis thoroughly explains training and testing phase of Viola-Jones algorithm for face detection. Face detection is the ﬁrst stage of face recognition. Namely, it is necessary to detect a face, and then to deﬁne personal features and ﬁnally identiﬁcation is performed. Local binary patterns histograms is one of the algorithms for face recognition which is provided by OpenCV library for computer vision and machine learning. Its advantage when compared to other approaches is that it is illumination invariant.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:190:282331
Study programme	Title: Computer Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Access restricted to students and staff of home institution
Terms of use
Repository	Repository of the University of Rijeka, Faculty of Engineering
Created on	2019-09-19 13:05:56

Nacionalna i sveučilišna knjižnica u Zagrebu

Dabar