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master's thesis
Autentikacija osoba analizom izgleda lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:014013
Babić, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Babić, I. (2020). Autentikacija osoba analizom izgleda lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:014013

Babić, Ivana. "Autentikacija osoba analizom izgleda lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:014013

Babić, Ivana. "Autentikacija osoba analizom izgleda lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:014013

Babić, I. (2020). 'Autentikacija osoba analizom izgleda lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 10 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:014013

Babić I. Autentikacija osoba analizom izgleda lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 August 10] Available at: https://urn.nsk.hr/urn:nbn:hr:168:014013

I. Babić, "Autentikacija osoba analizom izgleda lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:014013

Metadata
TitleAutentikacija osoba analizom izgleda lica
Title (english)Person authentication by face appearance analysis
AuthorIvana Babić
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberVladimir Čeperić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U sklopu ovog rada proučene su i opisane arhitekture konvolucijskih neuronskih mreža i funkcije gubitka za problem raspoznavanje lica i prepoznavanja izraza lica. Izgrađen je sustav za autentikaciju lica koji se sastoji od komponenti za detekciju lica, detekciju treptaja, modela za raspoznavanje ekspresija lica učenog na FER2013 skupu podataka te evaluiranom na CK+48 skupu podataka, klasifikatora ExtraTreesClassifier učenog na LCC-FASD skupu podataka i modela za raspoznavanje lica na otvorenom skupu učenog na MS1M-ArcFace skupu podataka i evaluiranom na LFW skupu podataka. Prikazani su i ocijenjeni rezultati svih implementiranih modela, prikazani pogrešno klasificirani primjeri te je provedena detaljna usporedba s rezultatima iz literature. Sve komponente povezane su u sustav za autentikaciju te je, zajedno s korisničkim sučeljem implementiranim pomoću Kivy biblioteke, predstavljena funkcionalna aplikacija za autentikaciju osoba u stvarnom vremenu.
Abstract (english)
In this work, the specific architectures and loss functions for deep neural networks are shown with an emphasis on convolutional neural networks for face recognition and facial expression recognition. A system for face authentication has been implemented, containing components for face detection, blink detection, model for face expression detection trained on FER2013 dataset and evaluated on CK+48 dataset, ExtraTreesClassifier trained on LCC-FASD dataset and model for face recognition trained on MS1M-ArcFace dataset and evaluated on LFW dataset. Furthermore, numerical results of all implemented models are expressed, their performance is evaluated and compared with the results from the literature and misclassified examples are briefly discussed. All mentioned components are connected together to form a functional real-time face authentication system with user friendly interface implemented using Kivy framework.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:014013
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
Access conditionsClosed access
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Created on2023-01-13 09:03:22