Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja

Lelas, Krešimir

prikaz prve stranice dokumenta Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja

No public access

master's thesis

Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:799930

Lelas, Krešimir

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Lelas, K. (2022). Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:799930

MLA 8th Edition

Lelas, Krešimir. "Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:799930

Chicago 17th Edition

Harvard

Lelas, K. (2022). 'Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:799930

Vancouver

Lelas K. Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2025 March 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:799930

IEEE

K. Lelas, "Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:799930

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:799930

Please login to the repository to save this object to your list.

Metadata

Title	Stvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja
Title (english)	Generating 3D Face Models from Videos by Using Deep Learning Models
Author	Krešimir Lelas
Mentor	Goran Delač (mentor)
Committee member	Goran Delač (predsjednik povjerenstva)
Committee member	Marin Šilić (član povjerenstva)
Committee member	Klemo Vladimir (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2022-09-14, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	U radu su objašnjene osnove 3D modeliranja, metoda za kreaciju 3D modela lica te korištene tehnike dubokog učenja (GAN i GCN). Demonstriran je rad jednostavne web aplikacije koja je izrađena na temelju frontend i backend dijela sa spojem između njih izrađenim pomoću pythona i knjižnice EEL. Model za kreaciju 3D lica je istreniran na setu javno dostupnih lica veličine 300000 slika. Model koristi duboko učenje u svrhu kreacije bolje i kvalitetnije teksture za završno 3D lice. Koristeći objašnjene tehnike GAN-a i GCN-a model iz početnih podataka razvija vidljivo bolje rješenje. Rezultati su uspoređeni i analizirati u kontekstu parametara za treniranje modela. Prikaz 3D modela je napravljen u web aplikaciji te je korisniku omogućeno pregledavanje i promjena okoliša.
Abstract (english)	The paper explains the basics of 3D modeling, the method for creating 3D face models, and the deep learning techniques used (GAN and GCN). The operation of a simple web application was demonstrated, which was created on the basis of the frontend and backend part with a connection between them created using python and the EEL library. The 3D face creation model is trained on a set of publicly available faces of size 300000 images. The model uses deep learning to create a better and higher quality texture for the final 3D face. Using the explained techniques of GAN and GCN, the model develops a visibly better solution from the initial data. The results were compared and analyzed in the context of model training parameters. The 3D model is displayed in the web application and the user is enabled to browse and change the environment.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:799930
Study programme	Title: Computing Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Repository	FER Repository
Created on	2023-01-13 10:18:30