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http://dx.doi.org/10.5302/J.ICROS.2016.15.0204

Development of 3D Scanner Based on Laser Structured-light Image  

Ko, Young-Jun (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
Yi, Soo-Yeong (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
Lee, Jun-O (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.22, no.3, 2016 , pp. 186-191 More about this Journal
Abstract
This paper addresses the development of 3D data acquisition system (3D scanner) based laser structured-light image. The 3D scanner consists of a stripe laser generator, a conventional camera, and a rotation table. The stripe laser onto an object has distortion according to 3D shape of an object. By analyzing the distortion of the laser stripe in a camera image, the scanner obtains a group of 3D point data of the object. A simple semiconductor stripe laser diode is adopted instead of an expensive LCD projector for complex structured-light pattern. The camera has an optical filter to remove illumination noise and improve the performance of the distance measurement. Experimental results show the 3D data acquisition performance of the scanner with less than 0.2mm measurement error in 2 minutes. It is possible to reconstruct a 3D shape of an object and to reproduce the object by a commercially available 3D printer.
Keywords
3D scanner; laser structured-light; rotation table; optical filter; 3D printer;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 C. Chu, J. Park, H. Kim, J. Park, and S. Lim, Recent Trends of 3D Reconstruction Technology, Electronics and Telecommunications Trends, vol. 22, no. 4, 2007.
2 J. Beraldin, F. Blais, L. Cournoyer, G. Godin, and M. Rioux, "Active 3D sensing," NRC Technical Report 44159, Ottawa, 2000.
3 R. Jain, R. Kasturi, and B. G. Schunck, Machine vision, McGraw-Hill, 1995.
4 J. Posdamer and M. Altschuler, "Surface measurement by spaceencoded projected beam system," Computer Graphics Image Processing, vol. 18, pp. 1-17, 1982.   DOI
5 D. Scharstein and R. Szeliski, "High accuracy stereo depth maps using structured light," Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 195-202, 2003.
6 J. Salvi, J. Pages, and J. Batlle, "Pattern codification strategies in structured light systems," Pattern Recognition, vol. 37, pp. 827- 849, 2004.   DOI
7 J. Moigne and A. Waxman, "Structured light patterns for robot mobility," IEEE Journal of Robotics and Automation, vol. 4, no. 5, pp. 541-548, 1988.   DOI
8 D. Noh, G. Kim, and B. Lee, "A study on the relative localization algorithm for mobile robots using a structured light technique," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 11, no. 8, pp. 678-687, 2005.   DOI
9 S. Yi, Y. Hong, and J. Suh, "Distance measurement based on structured light image for mobile robots," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 16, no. 1, pp. 18-24, 2010.   DOI
10 http://www.withrobot.com/.
11 S. Zhang and P. Huang, "Novel method for structured light system calibration," Optical Engineering, vol. 45, no. 8, pp. 083601-083608, 2006.   DOI
12 http://www.vision.caltech.edu/bouguetj/calib_doc/
13 M. Kazhdan, M. Bolitho, and H. Hoppe, "Poisson surface reconstruction," Eurographics Symposium on Geometry Processing, 2006.
14 http://store.makerbot.com/digitizer.html
15 https://matterandform.net/scanner