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Technologies 2015, 3(1), 19-36;

Characterization of a Large, Low-Cost 3D Scanner

Department of Computer Science, University of North Dakota, 3950 Campus Road, Stop 9015, Grand Forks, ND 58202, USA
Department of Mechanical Engineering, University of North Dakota, 243 Centennial Drive, Stop 8359, Grand Forks, ND 58202, USA
Author to whom correspondence should be addressed.
Academic Editor: Dean M. Aslam
Received: 18 August 2014 / Revised: 30 December 2014 / Accepted: 16 January 2015 / Published: 30 January 2015
PDF [1596 KB, uploaded 30 January 2015]


Imagery-based 3D scanning can be performed by scanners with multiple form factors, ranging from small and inexpensive scanners requiring manual movement around a stationary object to large freestanding (nearly) instantaneous units. Small mobile units are problematic for use in scanning living creatures, which may be unwilling or unable to (or for the very young and animals, unaware of the need to) hold a fixed position for an extended period of time. Alternately, very high cost scanners that can capture a complete scan within a few seconds are available, but they are cost prohibitive for some applications. This paper seeks to assess the performance of a large, low-cost 3D scanner, presented in prior work, which is able to concurrently capture imagery from all around an object. It provides the capabilities of the large, freestanding units at a price point akin to the smaller, mobile ones. This allows access to 3D scanning technology (particularly for applications requiring instantaneous imaging) at a lower cost. Problematically, prior analysis of the scanner’s performance was extremely limited. This paper characterizes the efficacy of the scanner for scanning both inanimate objects and humans. Given the importance of lighting to visible light scanning systems, the scanner’s performance under multiple lighting configurations is evaluated, characterizing its sensitivity to lighting design. View Full-Text
Keywords: 3D scanning; three-dimensional scanning; scanner performance; accuracy characterization 3D scanning; three-dimensional scanning; scanner performance; accuracy characterization

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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MDPI and ACS Style

Straub, J.; Kading, B.; Mohammad, A.; Kerlin, S. Characterization of a Large, Low-Cost 3D Scanner. Technologies 2015, 3, 19-36.

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