Novel calibration method for a multi-sensor visual measurement system based on structured light

Optical Engineering

Volumn 49, Issue 4, 2010, Pages

  Zhang, Guangjun ^a   Liu, Zhen ^a   Sun, Junhua ^a   Wei, Zhenzhong ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

global calibration; multi sensor system; planar target; structured light

Indexed keywords

CALIBRATION METHOD; CENTER POINTS; FIELDS OF VIEWS; GLOBAL CALIBRATION; LIGHT STRIPE; MULTI SENSOR; MULTI-SENSOR SYSTEMS; MUTUAL TRANSFORMATIONS; PLANAR TARGET; RELATIVE POSITIONS; STRUCTURED LIGHT; STRUCTURED-LIGHT VISION; TARGET POSITION; VISION SENSORS; VISUAL MEASUREMENTS;

CALIBRATION; MEASUREMENTS;

SENSORS;

EID: 81355164157     PISSN: 00913286     EISSN: 15602303     Source Type: Journal    
DOI: 10.1117/1.3407429     Document Type: Article

References (32)

1. J. A. Jalkio, R. C. Kim, and S. K. Case, Three dimensional inspection using multistripe structured light, Opt. Eng. 246, 966-974 1985
2. F. Chen, G. M. Brown, and M. Song, Overview of three-dimensional shape measurement using optical methods, Opt. Eng. 3910, 22 2000
3. E. N. Malamas, E. G. M. Petrakis, M. Zervakis, L. Petit, and J. D. Legat, A survey on industrial vision systems, applications and tools, Image Vis. Comput. 212, 171-188 2003
4. http://www.perceptron.com/downloads/AutoGaugeProfile.pdf.
5. I. Kovac, Flexible inspection system in the body-in white manufacturing, in Int. Workshop on Robotics and Sensors Environments, pp. 41-48 2004
6. R. S. Lu, Y. F. Li, and Q. Yu, On-line measurement of straightness of seamless steel pipe using machine vision technique, Sensors Actuators A Phys. 941, 95-101 2001 (Pubitemid 32993169)
7. http://www.ensco.com/News-Media/Product-Summaries.htm#rail.
8. http://www.railway-technology.com/contractors/track/kldlabs.
9. R. Dewar, Self-generated targets for spatial calibration of structured light optical sectioning sensors with respect to an external coordinate system, in Proc. Robots and Vision 88 Conf., pp. 5-13 1988
10. K. W. James, Non-contact machine vision metrology within a CAD coordinate system, in Proc. Autofact 88 Conf. Vol. 12, pp. 9-18 1988
11. F. J. Duan, F. M. Liu, and S. Ye, A new accurate method for the calibration of line structured light sensor, Chin. J. Sci. Instrum. 211, 108-110 2000
12. C. H. Chen and A. C. Kak, Modeling and calibration of a structured light scanner for 3D robot vision, in Proc. IEEE Conf. on Robotics and Automation, Vol. 4, pp. 807-815 1987 (Pubitemid 17595700)
13. I. D. Reid, Projective calibration of a laser-stripe range finder, Image Vis. Comput. 149, 659-666 1996 (Pubitemid 126365547)
14. D. Q. Huynh, Calibrating of a structured light stripe system: a novel approach, Int. J. Comput. Vis. 331, 73-86 1999 (Pubitemid 30498615)
15. G. Xu, L. Liu, J. Zeng, and D. Shi, A new method of calibration in 3D vision system based on structured-light, Chinese J. Comput. 186, 450-456 1995
16. Z. Y. Zhang, A flexible new technique for camera calibration, IEEE Trans. Pattern Anal. Mach. Intell. 2211, 1330-1334 2000
17. F. Q. Zhou and G. J. Zhang, Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations, Image Vis. Comput. 231, 59-67 2005
18. S. Prince, A. D. Cheok, F. Farbiz, T. Williamson, N. Johnson, M. Billinghurst, and H. Kato, 3D live: real time captured content for mixed reality, in Proc. Int. Symp. Mixed and Augmented Reality (ISMAR), pp. 7-13 2002
19. G. K. Cheung, S. Baker, C. Simon, and T. Kanade, Shape-fromsilhouette of articulated objects and its use for human body kinematics estimation and motion capture, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Vol. 1, pp. 77-84 2003
20. J. Y. Bouguet, Camera calibration toolbox for Matlab, Available from: http://www.vision.caltech.edu/bouguetj/calibdoc/
21. P. T. Baker and Y. Aloimonos, Complete calibration of a multicamera network, in Proc. IEEE Workshop on Omnidirectional Vision, pp. 134-141 2000
22. H. Zhang, K. K. Wong, and G. Q. Zhang, Camera calibration from images of sphere, IEEE Trans. Pattern Anal. Mach. Intell. 293, 499-503 2007
23. T. Svoboda, D. Martinec, and T. Pajdla, A convenient multi-camera self-calibration for virtual environments, PRESENCE Teleoperators Virtual Environ. 144, 407-422 2005 (Pubitemid 41365734)
24. M. Luo, Mutli-sensors vision measurement system and applications, PhD Thesis, Tianjin Univ., Tianjin 1996
25. R. S. Lu and Y. F. Li, A global calibration method for large-scale multi-sensor visual measurement systems, Sensors Actuators A Phys. 1163, 384-393 2004
26. R. K. Kumar, A. Ilie, J. M. Frahm, and M. Pollefeys, Simple calibration of non-overlapping cameras with a mirror, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1-7 2008
27. Y. Caspi and M. Irani, Aligning non-overlapping sequences, Int. J. Comput. Vis. 481, 39-51 2002 (Pubitemid 34491074)
28. A. Rahimi, B. Dunagan, and T. Darrell, Simultaneous calibration and tracking with a network of non-overlapping sensors, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 187-194 2004
29. S. Esquivel, F. Woelk, and R. Koch, Calibration of a multi-camera rig from non-overlapping views, Ishikawajima-Harima Eng. Rev. 4713, 82-91 2007
30. C. Steger, An unbiased detector of curvilinear structures, IEEE Trans. Pattern Anal. Mach. Intell. 202, 113-125 1998
31. Y. C. Shiu and S. Ahmad, Calibration of wrist-mounted robotic sensors by solving homogenous transform equations of the form AX =XB, IEEE Trans. Rob. Autom. 51, 16-29 1989
32. D. Z. Chen, Y. Wang, and G. J. Zhang, A new sub-pixel detector for grid target points in camera calibration, in Optical Information Processing, Proc. SPIE 6027, 60272N 2006