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Geometric calibration of line-scan camera using a planar pattern

[+] Author Affiliations
Ming Yao

University of Texas at Austin, School of Human Ecology, 200 West 24th Street, Austin, Texas 78712

Zuyun Zhao

University of Texas at Austin, School of Human Ecology, 200 West 24th Street, Austin, Texas 78712

Bugao Xu

University of Texas at Austin, School of Human Ecology, 200 West 24th Street, Austin, Texas 78712

J. Electron. Imaging. 23(1), 013028 (Feb 21, 2014). doi:10.1117/1.JEI.23.1.013028
History: Received December 17, 2013; Revised January 22, 2014; Accepted January 29, 2014
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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 2048×2048pixels, 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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Citation

Ming Yao ; Zuyun Zhao and Bugao Xu
"Geometric calibration of line-scan camera using a planar pattern", J. Electron. Imaging. 23(1), 013028 (Feb 21, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.1.013028


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