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Proceedings Paper

Efficient and accurate camera calibration technique for 3-D computer vision
Author(s): Sheng-Wen Shih; Yi-Ping Hung; We-Song Lin
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Paper Abstract

In this paper we propose a new technique for calibrating a camera with very high accuracy and low computational cost. The geometric camera parameters considered include camera position, orientation, focal length, radial lens distortion, pixel size, and optical axis piercing point. With our method, the camera parameters to be estimated are divided into two parts: the radial lens distortion coefficient (kappa) and a composite parameter vector c composed of all the above geometric camera parameters other than (kappa) . Instead of using nonlinear optimization techniques, the estimation of (kappa) is transformed into an eigenvalue problem of a 8 X 8 matrix. Our method is fast since it requires only linear computation. It is accurate since the effect of the lens distortion is considered and all the information contained in the calibration points is used. Computer simulation and real experiment have shown that the performance of our calibration method is better than that of the well-known method proposed by Tsai.

Paper Details

Date Published: 1 March 1992
PDF: 13 pages
Proc. SPIE 1614, Optics, Illumination, and Image Sensing for Machine Vision VI, (1 March 1992); doi: 10.1117/12.57975
Show Author Affiliations
Sheng-Wen Shih, National Taiwan Univ. and Institute of Information Science (Taiwan)
Yi-Ping Hung, Institute of Information Science (Taiwan)
We-Song Lin, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 1614:
Optics, Illumination, and Image Sensing for Machine Vision VI
Donald J. Svetkoff, Editor(s)

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