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  5. Multiview 3D reconstruction in geosciences
 
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Multiview 3D reconstruction in geosciences

Author(s)
Favalli, M.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Fornaciai, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Isola, I.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Tarquini, S.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Nannipieri, L.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Language
English
Obiettivo Specifico
1.10. TTC - Telerilevamento
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Computers & geosciences  
Issue/vol(year)
/44(2012)
ISSN
0098-3004
Electronic ISSN
1873-7803
Publisher
Elsevier Science Limited
Pages (printed)
168–176
Date Issued
2012
DOI
10.1016/j.cageo.2011.09.012
Alternative Location
http://www.sciencedirect.com/science/article/pii/S0098300411003128
URI
https://www.earth-prints.org/handle/2122/7480
Subjects
05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneous  
Subjects

Multiview

3D reconstruction

Laser scanner

Outcrop

Abstract
Multiview three-dimensional (3D) reconstruction is a technology that allows the creation of 3D models of a given scenario from a series of overlapping pictures taken using consumer-grade digital cameras. This type of 3D reconstruction is facilitated by freely available software, which does not require expert-level skills. This technology provides a 3D working environment, which integrates sample/field data visualization and measurement tools. In this study, we test the potential of this method for 3D reconstruction of decimeter-scale objects of geological interest. We generated 3D models of three different outcrops exposed in a marble quarry and two solids: a volcanic bomb and a stalagmite. Comparison of the models obtained in this study using the presented method with those obtained using a precise laser scanner shows that multiview 3D reconstruction yields models that present a root mean square error/average linear dimensions between 0.11 and 0.68%. Thus this technology turns out to be an extremely promising tool, which can be fruitfully applied in geosciences.
Type
article
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CG_PP_Favalli_etal_2011.pdf

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Format

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Checksum (MD5)

496a2486f708223afb4875b726a3fe85

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