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master's thesis
Detekcija karakterističnih točaka na licima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:660492
Pejnović, Juraj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pejnović, J. (2019). Detekcija karakterističnih točaka na licima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:660492

Pejnović, Juraj. "Detekcija karakterističnih točaka na licima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:660492

Pejnović, Juraj. "Detekcija karakterističnih točaka na licima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:660492

Pejnović, J. (2019). 'Detekcija karakterističnih točaka na licima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:660492

Pejnović J. Detekcija karakterističnih točaka na licima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:660492

J. Pejnović, "Detekcija karakterističnih točaka na licima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:660492

Metadata
TitleDetekcija karakterističnih točaka na licima
Title (english)Facial Feature Point Detection
AuthorJuraj Pejnović
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberZvonko Kostanjčar (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad prolazi kroz teorijsku podlogu analize slike lica i pronalaska karakterističnih točaka. Prolazi kroz metode i alate potrebne da bi se trenirala umjetna neuronska mreža. Rad također daje teorijsku podlogu za područje dubokog učenja i umjetnih neuronskih mreža korištenih za pronalazak točaka. Navodi se nekoliko različitih baza podatak slika dostupnih javno ili uz pristanak vlasnika. Nudi se rješenje jedne od mogućih neuronskih mreža za pronalazak lica i karakterističnih točaka. Nakon treniranja, rad daje pregled rezultata uz korištenje različitih izvora podataka i ispituje mogućnosti i razloge različitih dobivenih rezultata.
Abstract (english)
The thesis covers the theoretical background of image analysis and facial feature point detection. It goes through the methods and tools necessarry for the training of an aritificial neural network. The thesis also covers the areas of deep learning and artificial neural networks used for feature point detection. A few different data bases are mentioned which are either available publicly or with the consent of the author. A solution for a possible structure of an artificial neural network that can find facial feature points is proposed. After the training, test images from different data bases are compared and the final results are discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:660492
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 on2020-01-07 21:11:54