id
	13170
Url
	https://chloe.cnr.it/s/BiDiAr/item/13170
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Initial assessment on the use of state-of-the-art nerf neural network 3d reconstruction for heritage documentation
Creator
	Murtiyoso, Arnadi Dhestaratri
	Grussenmeyer, Pierre
Date
	2023
Language
	eng
Abstract
	In recent decades, photogrammetry has re-emerged as a viable solution for heritage documentation. Developments in various computer vision methods have helped photogrammetry to compete against the laser scanning technology, eventually becoming complementary solutions for the purpose of heritage recording. In the last few years, artificial intelligence (AI) has progressively entered various domains including 3D reconstruction. The Neural Radiance Fields (NeRF) method renders a 3D scene from a series of overlapping images, similar to photogrammetry. However, instead of relying on geometrical relations between the image and world spaces, it uses neural networks to recreate the so-called radiance fields. The result is a significantly faster method of recreating 3D scenes. While not designed to generate 3D models, simple computer graphics methods can be used to convert these recreated radiance fields into the familiar point cloud. In this paper, we implemented the Nerfacto architecture to recreate two instances of heritage objects and then compared them to traditional photogrammetric multi-view stereo (MVS). While the initial hypothesis posits that NeRF is not yet capable to reach the level of accuracy and density achieved by MVS as can be observed in the results, NeRF nevertheless shows a great potential due to its fractionally faster processing speed.
Is Part Of
	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Doi
	https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1113-2023
Issn
	1682-1750
Pages
	1113-1118
Uri
	https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/1113/2023/
Volume
	XLVIII-M-2-2023
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/MJIJW4B9/item-list

--