Geometric calibration of line-scan camera using a planar pattern

Ming Yao; Zuyun Zhao; Bugao Xu

doi:10.1117/1.JEI.23.1.013028

21 February 2014 Geometric calibration of line-scan camera using a planar pattern

Ming Yao, Zuyun Zhao, Bugao Xu

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 1, 013028 (February 2014). https://doi.org/10.1117/1.JEI.23.1.013028

Abstract

We present an innovative calibration method for line-scan cameras to estimate the intrinsic parameters. The calibration involves using a stationary planar pattern that consists of repeated vertical and slanted lines, and constructing a two-dimensional (2-D) calibration framework with one-dimensional (1-D) data. A feature point reconstruction method is applied to transform the 1-D camera calibration problem into the 2-D scope. Camera parameters are then solved by using a 2-D camera model with constraints unique to 1-D geometry. In our tests over 12 calibrations with images of 2048×2048 pixels , the average of the reprojection errors is 0.46 pixels. As opposed to other line-scan camera calibration techniques, this method does not require the camera to progressively scan a pattern, thus eliminating the need for additional mechanical devices to assist the calibration. This method does not need a three-dimensional pattern as a calibration target, either. The stationary planar target makes the calibration more suitable for an application that has to be done in a nonlaboratory setting, such as highway pavement inspection.

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Ming Yao, Zuyun Zhao, and Bugao Xu "Geometric calibration of line-scan camera using a planar pattern," Journal of Electronic Imaging 23(1), 013028 (21 February 2014). https://doi.org/10.1117/1.JEI.23.1.013028

Published: 21 February 2014

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