센서학회지 (Journal of Sensor Science and Technology)

  • 제14권2호
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  • Pages.109-115
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  • 2005
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  • 1225-5475(pISSN)
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  • 2093-7563(eISSN)
한국센서학회 (The Korean Sensors Society)
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GMDH 알고리즘에 의한 카메라 보정 모델의 비선형성 학습

Learning the nonlinearity of a camera calibration model using GMDH algorithm

  • 김명환 ((주)대원G.S.I. 기술연구소) ;
  • 도용태 (대구대학교 전자정보공학부)
  • 발행 : 2005.03.30
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초록

Calibration is a prerequisite procedure for employing a camera as a 3D sensor in an automated machines like robots. As accurate sensing is possible only when the vision sensor is calibrated accurately, many different approaches and models have been proposed for increasing calibration accuracy. Particularly an important factor which greatly affects the calibration accuracy is the nonlinearity in the mapping between 3D world and corresponding 2D image. In this paper GMDH algorithm is used to learn the nonlinearity without physical modelling. The technique proposed can be effective in various situations where the levels of noises and characteristics of nonlinear distortion are different. In simulations and an experiment, the proposed technique showed good and reliable results.

키워드

참고문헌

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피인용 문헌

  1. A New Linear Explicit Camera Calibration Method vol.23, pp.1, 2014, https://doi.org/10.5369/JSST.2014.23.1.66