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master's thesis
Raspoznavanje lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:592383
Pičuljan, Neven
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Pičuljan, N. (2016). Raspoznavanje lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:592383

Pičuljan, Neven. "Raspoznavanje lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:592383

Pičuljan, Neven. "Raspoznavanje lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:592383

Pičuljan, N. (2016). 'Raspoznavanje lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:592383

Pičuljan N. Raspoznavanje lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 December 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:592383

N. Pičuljan, "Raspoznavanje lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:592383

Metadata
TitleRaspoznavanje lica
Title (english)Face Recognition
AuthorNeven Pičuljan
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
Committee memberSanja Grubeša (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Opisan je razvoj sustava za automatsko raspoznavanje lica. Automatsko raspoznavanje lica zasniva se na tehnikama računalnog vida, a služi za raspoznavanje identiteta čovjeka na osnovu slike lica, pri čemu se koristi usporedba s ranije registriranim slikama lica za koje je poznat identitet. Skup ranije registriranih lica naziva se galerija. Korištene su duboke konvolucijske neuronske mreže. Duboke konvolucijske neuronske mreže sažimaju slike u 128-dimenzionalni deskriptor, a Euklidske udaljenosti deskriptora lica izravno odgovaraju sličnostima lica.
Abstract (english)
This paper describes the development of a system for automatic face recognition. Automatic face recognition is based on the techniques for computer vision and is used to identify the identity of the person based on the facial image. It uses a comparison with previously registered facial images with identities that are known. A set of previously registered faces is called the gallery. Deep convolutional neural network is used for face recognition. It compresses the image into 128-dimensional descriptor. Euclidean distance between descriptors directly corresponds to the similarities between the faces.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:592383
Study programmeTitle: Computing
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
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Created on2018-02-06 11:17:49