OSA's Digital Library

Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Alan E. Willner
  • Vol. 38, Iss. 9 — May. 1, 2013
  • pp: 1446–1448

Camera calibration with active phase target: improvement on feature detection and optimization

Lei Huang, Qican Zhang, and Anand Asundi  »View Author Affiliations


Optics Letters, Vol. 38, Issue 9, pp. 1446-1448 (2013)
http://dx.doi.org/10.1364/OL.38.001446


View Full Text Article

Enhanced HTML    Acrobat PDF (613 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

The calibration of camera with intrinsic and extrinsic parameters is a procedure of significance in current imaging-based optical metrology. Improvement at two aspects, feature detection and overall optimization, are investigated here by using an active phase target and statistically constrained bundle adjustment (SCBA). From the observations in experiment and simulation, the feature detection can be enhanced by “virtual defocusing” and windowed polynomial fitting if sinusoidal fringe patterns are used as the active phase target. SCBA can be applied to avoid the difficult measurement of the active target. As a typical calibration result in our experiment, the root mean square of reprojection error can be reduced to 0.0067 pixels with the proposed method.

© 2013 Optical Society of America

OCIS Codes
(100.2650) Image processing : Fringe analysis
(150.0150) Machine vision : Machine vision
(150.1488) Machine vision : Calibration

ToC Category:
Machine Vision

History
Original Manuscript: February 12, 2013
Revised Manuscript: March 29, 2013
Manuscript Accepted: April 1, 2013
Published: April 25, 2013

Citation
Lei Huang, Qican Zhang, and Anand Asundi, "Camera calibration with active phase target: improvement on feature detection and optimization," Opt. Lett. 38, 1446-1448 (2013)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-38-9-1446


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. K. Harding, Nat. Photonics 2, 667 (2008). [CrossRef]
  2. M. Vo, Z. Wang, B. Pan, and T. Pan, Opt. Express 20, 16926 (2012). [CrossRef]
  3. K. H. Strobl and G. Hirzinger, in 2011 IEEE International Conference on Computer Vision Workshops (IEEE, 2011), pp. 1068–1075.
  4. C. Schmalz, F. Forster, and E. Angelopoulou, Opt. Eng. 50, 113601 (2011). [CrossRef]
  5. A. Albarelli, E. Rodolà, and A. Torsello, in British Machine Vision Conference, F. D. R. Labrosse, R. Zwiggelaar, Y. Liu, and B. Tiddeman, eds. (British Machine Vision Association, 2010), paper 67.
  6. K. H. Strobl and G. Hirzinger, in IEEE International Conference on Robotics and Automation (IEEE, 2008), pp. 1398–1405.
  7. Z. Zhang, IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330 (2000). [CrossRef]
  8. D. C. Brown, Photogramm. Eng. 37, 855 (1971).
  9. I. Sobel, Artif. Intell. 5, 185 (1974). [CrossRef]
  10. R. Y. Tsai, IEEE J. Robot. Autom. 3, 323 (1987). [CrossRef]
  11. R. Sagawa, M. Takatsuji, T. Echigo, and Y. Yagi, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2005), pp. 832–837.
  12. L. Huang and A. K. Asundi, Meas. Sci. Technol. 22, 035304 (2011). [CrossRef]
  13. L. Huang, Q. Kemao, B. Pan, and A. K. Asundi, Opt. Lasers Eng. 48, 141 (2010). [CrossRef]
  14. Z. Wang, H. Du, S. Park, and H. Xie, Appl. Opt. 48, 1052 (2009). [CrossRef]
  15. Y. Surrel, Appl. Opt. 35, 51 (1996). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited