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Proceedings Paper

Color influence on accuracy of 3D scanners based on structured light
Author(s): Sophie Voisin; David L. Page; Sebti Foufou; Frédéric Truchetet; Mongi A. Abidi
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Paper Abstract

The characterization of commercial 3D scanners allows acquiring precise and useful data. The accuracy of range and, more recently, color for 3D scanners is usually studied separately, but when the 3D scanner is based on structured light with a color coding pattern, color influence on range accuracy should be investigated. The commercial product that we have tested has the particularity that it can acquire data under ambient light instead of a controlled environment as it is with most available scanners. Therefore, based on related work in the literature and on experiments we have done on a variety of standard illuminants, we have designed an interesting setup to control illuminant interference. Basically, the setup consists of acquiring the well-known Macbeth ColorChecker under a controlled environment and also ambient daylight. The results have shown variations with respect to the color. We have performed several statistical studies to show how the range results evolve with respect to the RGB and the HSV channels. In addition, a systematic noise error has also been identified. This noise depends on the object color. A subset of colors shows strong noise errors while other colors have minimal or even no systematic error under the same illuminant.

Paper Details

Date Published: 9 February 2006
PDF: 9 pages
Proc. SPIE 6070, Machine Vision Applications in Industrial Inspection XIV, 607009 (9 February 2006); doi: 10.1117/12.643448
Show Author Affiliations
Sophie Voisin, The Univ. of Tennessee, Knoxville (United States)
Lab. Le2i, UMR, CNRS 5158, Univ. de Bourgogne (France)
David L. Page, Lab. Le2i, UMR, CNRS 5158, Univ. de Bourgogne (France)
Sebti Foufou, The Univ. of Tennessee, Knoxville (United States)
Frédéric Truchetet, Lab. Le2i, UMR, CNRS 5158, IUT Le Creusot (France)
Mongi A. Abidi, Lab. Le2i, UMR, CNRS 5158, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 6070:
Machine Vision Applications in Industrial Inspection XIV
Fabrice Meriaudeau; Kurt S. Niel, Editor(s)

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