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master's thesis
Modeli za generiranje trodimenzionalnih objekata
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:462720
Sačarić, Bruno
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Sačarić, B. (2021). Modeli za generiranje trodimenzionalnih objekata (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:462720

Sačarić, Bruno. "Modeli za generiranje trodimenzionalnih objekata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:462720

Sačarić, Bruno. "Modeli za generiranje trodimenzionalnih objekata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:462720

Sačarić, B. (2021). 'Modeli za generiranje trodimenzionalnih objekata', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:462720

Sačarić B. Modeli za generiranje trodimenzionalnih objekata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:462720

B. Sačarić, "Modeli za generiranje trodimenzionalnih objekata", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:462720

Metadata
TitleModeli za generiranje trodimenzionalnih objekata
Title (english)Models for Generation of Three-dimensional Objects
AuthorBruno Sačarić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kod složenih modela dubokog učenja pojavljuje se problem nedostatka dovoljnog broja primjera za učenje. Moguće je poboljšati svojstva tih modela tako da se generiraju sintetski primjeri pomoću složenih modela generativnih suparničkih mreža. Ti modeli se brzo razvijaju i postaju sve sposobniji generirati realistične slike i modele. 3DGAN arhitektura omogućuje generiranje 3D modela veće preciznosti. U ovom radu je pokazana primjena te mreže na generiranje ultrazvučnih slika pukotina u materijalu, kako bi se povećanjem skupa primjera poboljšala generalizacijska svojstva mreža za klasifikaciju tih pukotina.
Abstract (english)
Complex deep learning models sometimes face the problem of not having enough learning examples. By generating synthetic examples with generative adversarial networks, it is possible to improve the capabilities of those networks. Those models are rapidly evolving and becoming more and more capable of generating realistic images and models. 3DGAN architecture makes it possible to generate 3D models of greater accuracy. This thesis shows the application of that network for generating ultrasound images of defects in materials, so that by enlarging the training set, we could improve the network's generalisation capabilities for classification of defects.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:462720
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 on2023-01-13 13:45:01