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Date of Publication:2016-01-01

Journal:光学精密工程

Issue:2

Page Number:300-308

ISSN No.:1004-924X

Abstract:When traditional self-calibration methods are used to calibrate the cameras without scene information, it usually shows lower calibration accuracy. In order to solve this problem, an improved self-calibration method for a binocular vision measurement system was proposed. Without high-accuracy calibration pattern, the proposed method could calibrate intrinsic parameters and rotation matrixes only by using parallel and perpendicular lines to establishing the constraint equation between the camera parameter and the characteristic line. Meanwhile, the translation vector was calibrated by feature points with the known distances between them. The calibration experiment was conducted to verify the proposed method. It shows that the proposed method calibrates the binocular vision measurement system in high accuracy, the accuracy reaches to 0.51%. As the proposed method avoids the difficulties from the high-accuracy calibration pattern needed in the calibration of measuring system, and the complex algorithm and low calibration accuracy in camera self-calibration, it has advantages of easy operating and high accuracy. © 2016, Science Press. All right reserved.

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