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undergraduate thesis
Detekcija lica na slikama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:813125
Matun, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Matun, J. (2014). Detekcija lica na slikama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:813125

Matun, Josip. "Detekcija lica na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:813125

Matun, Josip. "Detekcija lica na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:813125

Matun, J. (2014). 'Detekcija lica na slikama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:813125

Matun J. Detekcija lica na slikama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 June 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:813125

J. Matun, "Detekcija lica na slikama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:813125

Metadata
TitleDetekcija lica na slikama
Title (english)Face detection
AuthorJosip Matun
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberIgor Sunday Pandžić (član povjerenstva)
Committee memberVedrana Baličević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-09-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu opisan je postupak detektiranja objekata prema Violi i Jonesu. Razmatra se primjena postupka za detekciju lica na slikama. U implementaciji ove metode koristi se kaskada binarnih klasifikatora koji se dobivaju boostanjem slabijih klasifikatora dobivenih direktno iz Haarovih značajki. U radu je analizirana implementacija algoritma unutar programskog paketa OpenCV te je, također, napravljena vlastita implementacija u jeziku Python 2.7.7. Također je napravljena evalucija postupka detekcije u sklopu koje su dani rezultati o brzini te točnosti opisanog postupka.
Abstract (english)
This paper considers face detection using Viola – Jones algorithm. In the process of implementation of this method a cascade of binary classifiers is used. Classifiers are created by boosting weaker classiefers based on Haar features. This paper analyses the implementation of said algorithm within OpenCV program package. Also one's own implementation has been created within Python 2.7.7 language. An evaluation of implementations was done as well. The evaluation consisted of testing speed and accuracy of described procedure.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:813125
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 on2018-02-05 17:44:33