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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 44, Iss. 24 — Aug. 22, 2005
  • pp: 5086–5090

Calibration of stereo cameras from two perpendicular planes

Zhaozheng Hu and Zheng Tan  »View Author Affiliations


Applied Optics, Vol. 44, Issue 24, pp. 5086-5090 (2005)
http://dx.doi.org/10.1364/AO.44.005086


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Abstract

We present a novel linear algorithm with which to calibrate stereo cameras from two perpendicular planes. Stereo cameras are two cameras aligned in a special configuration with coplanar image planes and parallel axes that are increasingly more widely used in computer vision tasks. Our objective is to present a more practical and simplified linear algorithm for these special configuration cameras, as traditional linear algorithms usually require too-strong constraints either on three-dimensional scenes or on the camera's motion. We developed the proposed algorithm from a new constraint by exploiting the orthogonality of two planes. The algorithm has much weaker constraints on three-dimensional scenes because two perpendicular planes are commonly found in daily life. We tested the algorithm with synthetic data and real image data. Experimental results show that it is both accurate and practical.

© 2005 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(110.4190) Imaging systems : Multiple imaging
(150.0150) Machine vision : Machine vision

Citation
Zhaozheng Hu and Zheng Tan, "Calibration of stereo cameras from two perpendicular planes," Appl. Opt. 44, 5086-5090 (2005)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-44-24-5086


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References

  1. R. Y. Tsai, "A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses," IEEE Trans. Rob. Autom.  3, 323-344 (1987).
  2. S. J. Maybank and O. D. Faugeras, "A theory of self-calibration of a moving camera," Int. J. Comput. Vision  18, 123-151 (1992). [CrossRef]
  3. R. Hartley, "Self-calibration from multiple views with a rotating camera," Vols. 800 and 801 of Lecture Notes in Computer Science (Springer-Verlag, 1994), pp. 471-478.
  4. S. D. Ma, "A self-calibration technique for active vision systems," IEEE Trans. Rob. Autom.  12, 114-120 (1996). [CrossRef]
  5. B. Caprile and V. Torre, "Using vanishing points for camera calibration," Int. J. Comput. Vision  12, 127-140 (1990). [CrossRef]
  6. R. Cipolla, T. W. Drummond, and D. Robertson, "Camera calibration from vanishing points in images of architectural scenes," presented at the British Machine Vision Conference, Nottingham, UK, September 1999.
  7. Z. Zhang, "Flexible new technique for camera calibration," IEEE Trans. Pattern Anal. Mach. Intell.  23, 604-616 (2001). [CrossRef]
  8. K. Y. K. Wong, P. R. S. Mendonca, and R. Cipolla, "Camera calibration from surface of revolution," IEEE Trans. Pattern Anal. Mach. Intell.  25, 147-161 (2003). [CrossRef]
  9. H. Li, F. C. Wu, and Z. Y. Hu, "New linear camera self-calibration technique," Chin. J. Comput.  23, 1121-1129 (2000).
  10. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge U. Press, 2000).

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