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Binocular camera multi-pose calibration method based on radial alignment constraint algorithm
YANG Shangkun, WANG Yansong, GUO Hui, WANG Xiaolan, LIU Ningning
Journal of Computer Applications    2018, 38 (9): 2655-2659.   DOI: 10.11772/j.issn.1001-9081.2018020503
Abstract944)      PDF (720KB)(380)       Save
In binocular stereo vision, the camera needs to be calibrated to obtain its internal and external parameters in 3D measurement or precise positioning of the object.Through the study of the camera model with first-order radial distortion, linear formulas of solving internal and external parameters were constructed based on Radial Alignment Constraint (RAC) calibration method. Inclination angle, rotation angle, pitch angle and main distortion elements of lens were taken into consideration in this algorithm, which modified the defects in the traditional RAC calibration method that it only considers radial distortion and some parameters need priori values. The 3D reconstruction experiment of multi-pose binocular camera was carried out by using the obtained internal and external parameters. The experimental results show that,the reprojection error of this calibration method is distributed in[-0.3,0.3], and the similarity between the measurement trajectory and the actual trajectory is 96%, which has a positive effect on reducing the error rate of binocular stereo vision 3D measurement.
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