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A versatile multi-camera system for 3D acquisition and modeling

Contributo in Atti di convegno
Data di Pubblicazione:
2020
Citazione:
A versatile multi-camera system for 3D acquisition and modeling / Lanz, O.; Sottsas, F.; Conni, M.; Boschetti, M.; Nocerino, E.; Menna, F.; Remondino, F.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 2194-9034. - XLIII-B2-2020:(2020), pp. 785-790. (Intervento presentato al convegno XXIV ISPRS Congress (2020 edition)) [10.5194/isprs-archives-xliii-b2-2020-785-2020].
Abstract:
Image-based 3D models generation typically involves three stages, namely: 2D image acquisition, data processing, and 3D surface generation and editing. The availability of different easy-to-use and low-cost image acquisition solutions, combined with open-source or commercial processing tools, has democratized the 3D reconstruction and digital twin generation. But high geometric and texture fidelity on small- to medium-scale objects as well as integrated commercial system for mass 3D digitization are not available. The paper presents our effort to build such a system, i.e. a market-ready multi-camera solution and a customized reconstruction process for mass 3D digitization of small to medium objects. The system is realized as a joint work between industrial and academic partners, in order to employ the latest technologies for the needs of the market. The proposed versatile image acquisition and processing system pushes to the limits the 3D digitization pipeline combining a rigid capturing system with photogrammetric reconstruction methods
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Lanz, O.; Sottsas, F.; Conni, M.; Boschetti, M.; Nocerino, E.; Menna, F.; Remondino, F.
Autori di Ateneo:
NOCERINO Erica
Link alla scheda completa:
https://iris.uniss.it/handle/11388/307170
Titolo del libro:
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences
Pubblicato in:
INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES
Journal
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URL

https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/785/2020/
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