Primerjava metod za ocenjevanje polja sevanja

diplomsko delo

Vid Peršak (Author), Luka Čehovin (Mentor)

Abstract

Problem digitalnega opisa 3D sveta obstaja že od začetkov področja računalniške grafike. Večina pristopov temelji na rekonstrukciji sveta iz množice fotografij iste scene. Najnovejše metode temeljijo na globokem učenju, ki omogoča neposredno ocenjevanje polja sevanja. Nadaljnji razvoj metod izboljšuje hitrost, natančnost in dostopnost. Cilj diplomske naloge je pregled področja ter primerjava izbranih metod za ocenjevanje polja sevanja. V eksperimentalni analizi ovrednotimo kvaliteto metod, njihovo odvisnost od ločljivosti in števila vhodnih slik ter njihove potrebe po računskih virih.

Keywords

globoko učenje;nevronske mreže; 3D rekonstrukcija; NeRF;univerzitetni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[V. Peršak]
UDC:	004.85:004.92(043.2)
COBISS:	208519939
Views:	132
Downloads:	46
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Comparison of radiance field estimation methods
Secondary abstract:	The problem of digitally describing a 3D world has existed since the beginnings of computer graphics. Most approaches are based on the reconstruction of a world from a set of photographs of the same scene. The latest methods are based on deep learning, which allows for direct estimation of radiance fields. The subsequent development of these methods increases speed, accuracy and accessibility. The goal of this thesis is to review the field and to compare the chosen methods for radiance field estimation. In the experimental analysis, we evaluate the quality of the methods, their dependence on resolution, the number of input images and their computational resource requirements.
Secondary keywords:	deep learning;neural networks;3D reconstruction;NeRF; Gaussian Splatting;computer and information science;diploma;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000468
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	1 spletni vir (1 datoteka PDF (57 str.))
ID:	24831040