Ms. Zuyun Zhao Profile

Zuyun Zhao

at Univ of Texas at Austin

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SPIE Journal Paper | 21 February 2014

Geometric calibration of line-scan camera using a planar pattern

Ming Yao, Zuyun Zhao, Bugao Xu

JEI, Vol. 23, Issue 01, 013028, (February 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.1.013028

KEYWORDS: Cameras, Calibration, Line scan image sensors, Distortion, Image fusion, Image segmentation, Sensors, 3D modeling, Inspection, Motion models

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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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