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master's thesis
Renderiranje scene pomoću dubokog učenja
2023. urn:nbn:hr:168:339638
Žagar, Niko Pave
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Žagar, N. P. (2023). Renderiranje scene pomoću dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:339638

Žagar, Niko Pave. "Renderiranje scene pomoću dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:339638

Žagar, Niko Pave. "Renderiranje scene pomoću dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:339638

Žagar, N. P. (2023). 'Renderiranje scene pomoću dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:339638

Žagar NP. Renderiranje scene pomoću dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:339638

N. P. Žagar, "Renderiranje scene pomoću dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:339638

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Metadata
TitleRenderiranje scene pomoću dubokog učenja
Title (english)Deep learning approach to scene rendering
AuthorNiko Pave Žagar
MentorMarija Seder (mentor)
Committee memberIvan Marković (predsjednik povjerenstva)
Committee memberLuka Petrović (član povjerenstva)
Committee memberJuraj Peršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-21, Croatia
Abstract
Kroz ovaj rad prikazan je proces rekonstrukcije trodimenzionalnog modela iz 2D slike te njegovo renderiranje. U početku su objašnjeni osnovni koncepti oblaka točaka, estimacije dubine, registracije i 3D rekonstrukcije. Prvi korak je estimacija dubine iz dvodimenzionalne slike i stvaranja udbinske mape, iz koje se generira oblak točaka. Ispitane su tri različite metode registracije oblaka točaka, od kojih su samo ICP algoritmom dobiveni rezultati, dok za TEASER i PREDATOR metode oblaci točaka generirani estimacijom nisu valjani. Dobiveni oblaci točaka rekonstruirani su Poissonovom metodom rekonstrukcije površine. Objašnjeni su temeljni principi renderiranja te su u konačnici prikazani rezultati dobivenih testiranja.
Abstract (english)
Through this work, the process of reconstructing a three-dimensional model from a 2D image and its rendering is presented. Initially, the fundamental concepts of point clouds, depth estimation, registration, and 3D reconstruction are explained. The first step involves depth estimation from a two-dimensional image and the creation of a depth map, from which a point cloud is generated. Three different methods for point cloud registration were tested, with valid results obtained only using the ICP algorithm, while point clouds couldn't be generated by TEASER and PREDATOR methods. The obtained point clouds were reconstructed using the Poisson surface reconstruction method. The basic principles of rendering are explained, and the results of the conducted tests are ultimately presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:339638
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 on2023-10-11 11:04:46