Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

Camera Calibration using the TSK fuzzy system

TSK 퍼지 시스템을 이용한 카메라 켈리브레이션

  • Lee Hee-Sung (School of Electrical and Electronic Engineering Yonsei University) ;
  • Hong Sung-Jun (School of Electrical and Electronic Engineering Yonsei University) ;
  • Oh Kyung-Sae (School of Electrical and Electronic Engineering Yonsei University) ;
  • Kim Eun-Tai (School of Electrical and Electronic Engineering Yonsei University)
  • Published : 2006.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

Camera calibration in machine vision is the process of determining the intrinsic cameara 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