International Journal of Fuzzy Logic and Intelligent Systems

  • 제7권3호
  • /
  • Pages.216-220
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  • 2007
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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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)
  • 발행 : 2007.09.01
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초록

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.

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참고문헌

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피인용 문헌

  1. Design of Fuzzy PID Controllers using TSK Fuzzy Systems vol.24, pp.1, 2014, https://doi.org/10.5391/JKIIS.2014.24.1.102