Browse > Article
http://dx.doi.org/10.5369/JSST.2005.14.2.109

Learning the nonlinearity of a camera calibration model using GMDH algorithm  

Kim, Myoung-Hwan (Research and Development Institute, Daewon GSI Co.)
Do, Yong-Tae (School of Electronic Engineering, Daegu University)
Publication Information
Journal of Sensor Science and Technology / v.14, no.2, 2005 , pp. 109-115 More about this Journal
Abstract
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.
Keywords
camera calibration; GMDH algorithm; lens distortion;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S.-W. Park and K.-S. Hong, 'Practical ways to calculate camera lens distortion for real-time camera calibration', Pattern Recognition, vol. 34, no. 6, pp. 1199-1206, 2001   DOI   ScienceOn
2 http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/rgw/ www/TsaiCode. html
3 http://www. vision, caltech. edu/bouguetj/calib_doc/ htmlsAinks.html
4 도용태, '카메라 모델과 데이터의 정확도가 불확실한 상황하에서의 카메라 보정', 센서학회지, vol. 13, no. 1, pp. 27-34, 2004
5 도용태, 'A design of multilayer perceptron for camera calibration', 센서학회지, vol. 11, no. 4, pp. 49-56, 2002
6 O. D. Faugueras and G. Toscani, 'The calibration problem for stereoscopic vision', Sensor Devices and Systems for Robotics, Ed. A. Casals, NATO ASI Series, vol. F.52, Springer-Verlag, Berlin, Heidelberg, 1989
7 Y. Yakimovsky and R. Cunningham, 'A system for extracting three-dimensional measurements from a stereo pair of TV cameras', Computer Graphics and Image Processing, vol. 7, pp. 195-210, 1978   DOI   ScienceOn
8 M. Ito, 'Robot vision modelling - camera modelling and camera calibration', Advanced Robotics, vol. 5, no. 3, pp. 321-337, 1991   DOI
9 J. Salvi et al., 'A comparative review of camera calibration methods with accuracy evaluation', Pattern Recognition, vol. 35, pp. 1617-1635, 2002   DOI   ScienceOn
10 R. Y. Tsai, 'A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses', IEEE J. Robotics and Automation, vol. RA-3, no. 4, pp. 323-344, 1987
11 J. Weng, et al., 'Camera calibration with distortion models and accuracy evaluation', IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 10, pp. 965-980, 1992   DOI   ScienceOn
12 S. -W. Shih, et al, 'When should we consider lens distortion in camera calibration', Pattern Recognition, vol. 28, no. 3, pp. 447-461, 1995   DOI   ScienceOn
13 A. G. Ivakhnenko, 'Heuristic self-organization in problems of engineering cybernetics', Automatica, vol. 6, no. 2, pp. 207-219, 1970   DOI   ScienceOn
14 M. Iwasaki, et al., 'GMDH-based modeling and feedforward compensation for nonlinear friction in table drive systems', IEEE Trans. Industrial Electronics, vol. 50, no. 6, pp. 1172-1178, 2003   DOI   ScienceOn