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Proceedings Paper

A method of camera calibration with adaptive thresholding
Author(s): Lei Gao; Shu-hua Yan; Guo-chao Wang; Chun-lei Zhou
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Paper Abstract

In order to calculate the parameters of the camera correctly, we must figure out the accurate coordinates of the certain points in the image plane. Corners are the important features in the 2D images. Generally speaking, they are the points that have high curvature and lie in the junction of different brightness regions of images. So corners detection has already widely used in many fields. In this paper we use the pinhole camera model and SUSAN corner detection algorithm to calibrate the camera. When using the SUSAN corner detection algorithm, we propose an approach to retrieve the gray difference threshold, adaptively. That makes it possible to pick up the right chessboard inner comers in all kinds of gray contrast. The experiment result based on this method was proved to be feasible.

Paper Details

Date Published: 6 August 2009
PDF: 6 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 738414 (6 August 2009); doi: 10.1117/12.835220
Show Author Affiliations
Lei Gao, National Univ. of Defense Technology (China)
Shu-hua Yan, National Univ. of Defense Technology (China)
Guo-chao Wang, National Univ. of Defense Technology (China)
Chun-lei Zhou, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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