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master's thesis
Algoritmi za prepoznavanja lica
2019. urn:nbn:hr:190:282331
Zubalić, Patricija
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Signals and Systems

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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

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

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

Zubalić, P. (2019). 'Algoritmi za prepoznavanja lica', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:282331

Zubalić P. Algoritmi za prepoznavanja lica [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:190:282331

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

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Metadata
TitleAlgoritmi za prepoznavanja lica
AuthorPatricija Zubalić
MentorJonatan Lerga (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Signals and Systems)
Rijeka
Defense date and country2019-09-19, 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)
Languagecroatian
URN:NBNurn:nbn:hr:190:282331
Study programmeTitle: Computer Engineering
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
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-09-19 13:05:56