id
	13488
Url
	https://chloe.cnr.it/s/BiDiAr/item/13488
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	A smartphone-based 3d pipeline for the creative industry – the replicate eu project
Creator
	Nocerino, Erica
	Lago, Federico
	Morabito, Daniele
	Remondino, Fabio
	Porzi, L.
	Poiesi, Fabio
	Rota Bulo, Stefano
	Chippendale, Paul
	Locher, Alex
	Havlena, Michal
	Van Gool, Luc
	Eder, Marcus
	Fötschl, Andreas
	Hilsmann, Anna
	Kausch, Lisa
	Eisert, Peter
Date
	2017
Language
	eng
Abstract
	During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional content is starting to become commonplace now in many applications. Although for many years 3D technologies have been used in the generation of assets by researchers and experts, nowadays these tools are starting to become commercially available to every citizen. This is especially the case for smartphones, that are powerful enough and sufficiently widespread to perform a huge variety of activities (e.g. paying, calling, communication, photography, navigation, localization, etc.), including just very recently the possibility of running 3D reconstruction pipelines. The REPLICATE project is tackling this particular issue, and it has an ambitious vision to enable ubiquitous 3D creativity via the development of tools for mobile 3D-assets generation on smartphones/tablets. This article presents the REPLICATE project’s concept and some of the ongoing activities, with particular attention being paid to advances made in the first year of work. Thus the article focuses on the system architecture definition, selection of optimal frames for 3D cloud reconstruction, automated generation of sparse and dense point clouds, mesh modelling techniques and post-processing actions. Experiments so far were concentrated on indoor objects and some simple heritage artefacts, however, in the long term we will be targeting a larger variety of scenarios and communities.
Is Part Of
	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Doi
	https://doi.org/10.5194/isprs-archives-XLII-2-W3-535-2017
Issn
	1682-1750
Pages
	535-541
Uri
	https://isprs-archives.copernicus.org/articles/XLII-2-W3/535/2017/
Volume
	XLII-2-W3
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/SFSW7HSH/item-list

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