id
	13988
Url
	https://chloe.cnr.it/s/BiDiAr/item/13988
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	The 3D Model Acquisition Pipeline
Creator
	Bernardini, Fausto
	Rushmeier, Holly
Date
	2002
Language
	eng
Abstract
	Three-dimensional (3D) image acquisition systems are rapidly becoming more affordable, especially systems based on commodity electronic cameras. At the same time, personal computers with graphics hardware capable of displaying complex 3D models are also becoming inexpensive enough to be available to a large population. As a result, there is potentially an opportunity to consider new virtual reality applications as diverse as cultural heritage and retail sales that will allow people to view realistic 3D objects on home computers. Although there are many physical techniques for acquiring 3D data—including laser scanners, structured light and time-of-flight—there is a basic pipeline of operations for taking the acquired data and producing a usable numerical model. We look at the fundamental problems of range image registration, line-of-sight errors, mesh integration, surface detail and color, and texture mapping. In the area of registration we consider both the problems of finding an initial global alignment using manual and automatic means, and refining this alignment with variations of the Iterative Closest Point methods. To account for scanner line-of-sight errors we compare several averaging approaches. In the area of mesh integration, that is finding a single mesh joining the data from all scans, we compare various methods for computing interpolating and approximating surfaces. We then look at various ways in which surface properties such as color (more properly, spectral reflectance) can be extracted from acquired imagery. Finally, we examine techniques for producing a final model representation that can be efficiently rendered using graphics hardware.
Is Part Of
	Computer Graphics Forum
Doi
	htps://doi.org/10.1111/1467-8659.00574
Issn
	1467-8659
Issue
	2
Pages
	149-172
Volume
	21
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/RLKIZ7S4/item-list

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