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undergraduate thesis
Sustav za raspoznavanje lica
2016. urn:nbn:hr:168:629826
Guberović, Emanuel
University of Zagreb
Faculty of Electrical Engineering and Computing

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Guberović, E. (2016). Sustav za raspoznavanje lica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:629826

Guberović, Emanuel. "Sustav za raspoznavanje lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:629826

Guberović, Emanuel. "Sustav za raspoznavanje lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:629826

Guberović, E. (2016). 'Sustav za raspoznavanje lica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:629826

Guberović E. Sustav za raspoznavanje lica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:629826

E. Guberović, "Sustav za raspoznavanje lica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:629826

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Metadata
TitleSustav za raspoznavanje lica
Title (english)Face Recognition System
AuthorEmanuel Guberović
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberZvonimir Pavlić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad opisuje metode raspoznavanja lica sadržane u OpenCV biblioteci, točnije njenom FaceRecognizer razredu. Te metode su Fisherfaces, Eigenfaces i LBPH. Opisana je i baza slika skupljena u svrhu rada i analiza uspješnosti prethodna tri algoritma nad tom bazom slika. Naposljetku je objašnjen i sustav realiziran u obliku web aplikacije koji dinamički prikazuje djelovanje ovih algoritama raspoznavanjem slike s web kamere.
Abstract (english)
This thesis describes methods of face recognition found in OpenCV library, more specific it's FaceRecognizer class. Those methods are Fisherfaces, Eigenfaces and LBPH. Also described with thesis is the database of images captured in sake of thesis. Quality of recognition is analysed on those images. Finally, system realised as a web application which dynamically showcases how these algorithms work by recognising captured image from web camera is also described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:629826
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 on2018-02-06 09:04:44