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undergraduate thesis
Detekcija ljudskog lica pomoću stroja potpornih vektora
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:780868
Bedić, Fran
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Bedić, F. (2019). Detekcija ljudskog lica pomoću stroja potpornih vektora (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:780868

Bedić, Fran. "Detekcija ljudskog lica pomoću stroja potpornih vektora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:780868

Bedić, Fran. "Detekcija ljudskog lica pomoću stroja potpornih vektora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:780868

Bedić, F. (2019). 'Detekcija ljudskog lica pomoću stroja potpornih vektora', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:780868

Bedić F. Detekcija ljudskog lica pomoću stroja potpornih vektora [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:780868

F. Bedić, "Detekcija ljudskog lica pomoću stroja potpornih vektora", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:780868

Metadata
TitleDetekcija ljudskog lica pomoću stroja potpornih vektora
Title (english)Human face detection with Support Vector Machines
AuthorFran Bedić
MentorJosipa Pina Milišić (mentor)
Committee memberJosipa Pina Milišić (predsjednik povjerenstva)
Committee memberAndrea Aglić Aljinović (član povjerenstva)
Committee memberTomislav Burić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Detekcija lica postupak je kojim se locira i odvaja područje lica u slikama. U ovom radu istražili smo primjenjivost stroja potpornih vektora u rješavanju problema detekcije lica. Iznesen je matematički model klasifikatora maksimalne margine, klasifikatora meke margine i nelinearnih klasifikatora koji koriste jezgre. Nadalje, klasificirane su osnovne tehnike implementacije stroja potpornih vektora te su dani matematički modeli algoritama optimizacije: gradijentni uspon i slijedna minimalna optimizacija. Iznesene su neke prednosti i nedostaci navedenih algoritama. Naposljetku su izneseni i rezultati implementacije stroja potpornih vektora koji koristi algoritam slijedne minimalne optimizacije u problemima detekcije lica.
Abstract (english)
Face detection is the procedure of finding and separating faces within images. In this thesis we have explored the applicability of the Support Vector Machines(SVM) in solving the face detection problem. We’ve defined a mathematical model of maximum margin classifiers, soft margin classifiers and nonlinear classifiers which use kernels. Furthermore, we’ve classified basic techniques of SVM implementation and given mathematical models of optimization algorithms: gradient ascent and Sequential Minimal Optimization (SMO). Some advantages and disadvantages of the aforementioned algorithms have been brought forth. Lastly, we’ve carried out the results of the SVM implementation which uses SMO in the face detection problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:780868
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 16:40:21