A method of camera calibration with adaptive thresholding

Lei Gao; Shu-hua Yan; Guo-chao Wang; Chun-lei Zhou

doi:10.1117/12.835220

6 August 2009 A method of camera calibration with adaptive thresholding

Lei Gao, Shu-hua Yan, Guo-chao Wang, Chun-lei Zhou

Proceedings Volume 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications; 738414 (2009) https://doi.org/10.1117/12.835220
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Lei Gao, Shu-hua Yan, Guo-chao Wang, and Chun-lei Zhou "A method of camera calibration with adaptive thresholding", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 738414 (6 August 2009); https://doi.org/10.1117/12.835220

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KEYWORDS

Cameras

Calibration

Corner detection

Distortion

Detection and tracking algorithms

Sensors

3D image processing

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