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http://dx.doi.org/10.5391/IJFIS.2007.7.3.216

Robust Camera Calibration using TSK Fuzzy Modeling  

Lee, Hee-Sung (School of Electrical and Electronic Engineering, Yonsei University)
Hong, Sung-Jun (School of Electrical and Electronic Engineering, Yonsei University)
Kim, Eun-Tai (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.7, no.3, 2007 , pp. 216-220 More about this Journal
Abstract
Camera calibration in machine vision is the process of determining the intrinsic camera parameters and the three-dimensional (3D) position and orientation of the camera frame relative to a certain world coordinate system. On the other hand, Takagi-Sugeno-Kang (TSK) fuzzy system is a very popular fuzzy system and approximates any nonlinear function to arbitrary accuracy with only a small number of fuzzy rules. It demonstrates not only nonlinear behavior but also transparent structure. In this paper, we present a novel and simple technique for camera calibration for machine vision using TSK fuzzy model. The proposed method divides the world into some regions according to camera view and uses the clustered 3D geometric knowledge. TSK fuzzy system is employed to estimate the camera parameters by combining partial information into complete 3D information. The experiments are performed to verify the proposed camera calibration.
Keywords
Camera Calibration; TSK fuzzy model; Machine-vision;
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  • Reference
1 O. Faugeras, Three-dimensional computer vision: a geometric viewpoint , MIT press, 1993
2 M. Ahmed, E. Hemayed and A. Fagag, 'Neurocalibration : a neural network that can tell camera calibration parameters,' Proc. of the Seventh IEEE Int. Conf., Vol. 1, 20-27, Sept. 1999
3 J. Weng, P. Cohen and M. Herniou, 'Camera Calibration with distortion models and accuracy evaluation,' IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 14, No. 10, Oct 1992
4 M. Lee and J. Lee, ' A 2-D image camera calibration using a mapping approximation of multi-layer perceptions,' Journal of Control Automation and system engineering, Vol. 4, pp. 487-493, 1998
5 Q.-T. Luong and O.D. Faugeras, 'Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices,' Int. J. Computer Vision, vol. 22, no. 3, pp. 261-289, 1997   DOI
6 R. Hartley and A. Zisserman, Multiple view geometry in computer vision, Cambridge university press, 2004
7 R. Tsai, 'A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,' IEEE Journal of Robotics and Automation, Vol. RA-3, No. 4, Aug 1987
8 L. Wang, A Course in fuzzy systems and control, Prentice-Hall, 1997
9 Z. Zhang, 'A Flexible New Technique for Camera Calibration,' IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, Nov. 2000   DOI   ScienceOn
10 Z. Zhang, 'Camera Calibration with One Dimensional Objects,' Proc. European Conf. Computer Vision, vol. 4, pp. 161-174, May 2002
11 D. Choi, S. Oh, H. Chang and K. Kim, 'Nonlinear camera calibration using neural networks,' Neural, parallel and scientic computations, Vol. 2, No. 1, March 1994
12 A. Gruen and T. Huang, Calibration and orientation of cameras in computer vision, Springer, 2001