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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

Institutional repository: FER Repository

Cite this document

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

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

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

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 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:799930

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 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:799930

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

Metadata
TitleStvaranje 3D modela lica iz videozapisa primjenom modela dubokog učenja
Title (english)Generating 3D Face Models from Videos by Using Deep Learning Models
AuthorKrešimir Lelas
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-14, 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)
Languagecroatian
URN:NBNurn:nbn:hr:168:799930
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 10:18:30