Accuracy Analysis of Fringe Projection Systems Based on Blue Light Technology

Abstract:

Some manufacturers of 3D digitizing systems are developing and market more accurate, fastest and affordable systems of fringe projection based on blue light technology. The aim of the present work is the determination of the quality and accuracy of the data provided by the LED structured light scanner Comet L3D (Steinbichler). The quality and accuracy of the cloud of points produced by the scanner is determined by measuring a number of gauge blocks of different sizes. The accuracy range of the scanner has been established through multiple digitizations showing the dependence on different factors such as the characteristics of the object and scanning procedure. Although many factors influence, accuracies announced by manufacturer have been achieved under optimal conditions and it has been noted that the quality of the point clouds (density, noise, dispersion of points) provided by this system is higher than that obtained with laser technology devices.

• Periodical: Key Engineering Materials (Volume 615)
• Pages: 9-14
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.615.9
• Online since: June 2014
• Authors: Claudio Bernal*, Beatriz de Agustina, Marta María Marín, Ana Maria Camacho
• Keywords: Accuracy, Point Cloud, Reverse Engineering, Traceability, Uncertainty

References

[1] B. Ramos, E. Santos, Comparative study of different digitization techniques and their accuracy, Computer-Aided Design. 43 (2011) 188–206.

DOI: 10.1016/j.cad.2010.11.005

[2] M. Mahmud, D. Joannic, M. Roy, A. Isheil, J.F. Fontaine, 3D part inspection path planning of a laser scanner with control on the uncertainty, Computer-Aided Design. 43 (2011) 345–355.

DOI: 10.1016/j.cad.2010.12.014

[3] ISO/TS 14253-2, Part 2: Guide to the estimation of uncertainty in geometrical product specifications (GPS) measurement in calibration of measuring equipment and in product verification, International Organization for Standardization (ISO), Geneva, (2011).

DOI: 10.3403/02629163u

[4] ISO/IEC Guide 98-3, Uncertainty of measurement Part 3: guide to the expression of uncertainty in measurement (GUM), International Organization for Standardization (ISO), Geneva, (2008).

[5] ISO 10360-7, Geometrical product specifications (GPS), Acceptance and reverification tests for coordinate measuring machines (CMM) Part 7: CMMs equipped with imaging probing systems, International Organization for Standardization (ISO), Geneva, (2011).

DOI: 10.3403/30154292

[6] C. Bradley, B. Currie, Advances in the field of reverse engineering, Computer Aided Design and Applications. 2 (2005) 697-706.

DOI: 10.1080/16864360.2005.10739029

[7] G. Sansoni, F. Docchio, Three-dimensional optical measurements and reverse engineering for automotive applications, Robotics and Computer-Integrated Manufacturing. (2004) 359–367.

DOI: 10.1016/j.rcim.2004.03.001

[8] M. Greenspan, G. Godin, A nearest neighbour method for efficient ICP, Proceedings of the 3rd International Conference on 3-D Digital Imaging and Modelling. (2001) 161-168.

[9] P. Besl, N. McKay, A method of registration of 3D shapes, IEEE Trans On Pattern Analysis and Machine Intelligence. 14 (1992) 239-256.

DOI: 10.1109/34.121791

[10] F. Goulette, Modelisation 3D automatique, Les presses de l´Ecole des Mines ed., Paris, (1999).