JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Development of 3D Scanner Based on Laser Structured-light Image
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Development of 3D Scanner Based on Laser Structured-light Image
Ko, Young-Jun; Yi, Soo-Yeong; Lee, Jun-O;
 
 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;
 Language
Korean
 Cited by
1.
선형 레이저 광 영상기반 다면 3 차원 스캐너,고영준;이수영;

제어로봇시스템학회논문지, 2016. vol.22. 10, pp.811-816 crossref(new window)
 References
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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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.

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.

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. crossref(new window)

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