Abstract
In this paper, we use 1D rotating objects to calibrate camera. The calibration object has three collinear points. It is not necessary for the object to rotate around one of its endpoints as before; instead, it rotates around the middle point in a plane. In this instance, we can use two calibration constraints to compute the intrinsic parameters of a camera. In addition, when the 1D object moves in a plane randomly, the proposed technique remains valid to compute the intrinsic parameters of a camera. Experiments with simulated data as well as with real images show that our technique is accurate and robust.
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References
Tsai R Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses [J]. IEEE J Robotics and Automation, 1987, 3(4): 323–344.
Weng J, Cohen P, Herniou M. Camera calibration with distortion models and accuracy evaluation [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1992, 14(10): 965–980.
Zhang Z. A flexible new technique for camera calibration [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330–1334.
Meng X Q, Li H, Hu Z Y. A new easy camera calibration technique based on circular points [C]//Proceedings of the ICCV’99. Kerkya, Greece: IEEE, 1999: 496–505.
Sturm P, Maybank S J. On plane-based camera calibration: A general algorithm, singularities, applications [C]//Proceedings of the CVPR’99. Colorado, USA: IEEE, 1999: 432–437.
Zhang Z. Camera calibration with one-dimensional objects [C]// Proceedings of the ECCV’02. Copenhagen, Denmark: IEEE, 2002: 161–174.
Wu F C, Hu Z Y, Zhu H J. Camera calibration with moving one-dimensional objects [J]. Pattern Recognition, 2002, 35: 1617–1635.
Qi F, Li Q H, Luo Y P, et al. Camera calibration with one-dimensional objects moving under gravity [J]. Pattern Recognition, 2007, 40: 343–345.
Maybank S J, Faugeras O D. A theory of self-calibration of a moving camera [J]. IJCV, 1992, 8(2): 123–152
Hartley R I. An algorithm for self-calibration from several views [C]//Proceedings of the CVPR’94. Washington, USA: IEEE, 1994: 908–912.
Wu Y H, Li X J, Wu F C, et al. Coplanar circles, quasi-affine invariance and calibration [J]. Image and Vision Computing, 2006, 24: 319–326.
Semple J G, Kneebone G T. Algebraic projective geometry [M]. Oxford, England: Oxford University Press, 1952.
Golub G, Vanloan C. Matrix computations [M]. 3rd ed. Baltimore: The John Hopkins University Press, 1996.
Wu Y H, Zhu H J, Hu Z Y, et al. Camera calibration from the quasi-affine invariance of two parallel circles [C]//Proceeding of ECCV. Prague, Czech: Springer-Verlag, 2004: 190–202.
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Ma, Wj., Liu, Yc. Camera calibration with 1D rotating objects. J. Shanghai Jiaotong Univ. (Sci.) 14, 518–525 (2009). https://doi.org/10.1007/s12204-009-0518-0
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DOI: https://doi.org/10.1007/s12204-009-0518-0