Parameters separation and calibration method for infinity imaging camera based on three-axis rotary table

Abstract

Precision calibration is the key for infinity imaging camera to achieve accurate measurement, and calibration methods based on multi-axis rotary table are widely used for high accuracy and strong operability. However, conventional methods optimizing an integrated model lead to a coupling between intrinsic and extrinsic parameters, which may affect the accuracy of each parameter when applied separately. Moreover, the existing methods with parameters separation need intricate adjustment manually. Aiming at above problems, a novel calibration method realizing parameters separation by automatic calculation is proposed. By pure rotation motions based on three-axis rotary table, the correspondence between two groups of virtual homonymic points is constructed to solve the initial estimates of parameters, during which the vector of the calibration point coupled with intrinsic parameters can be eliminated. The simulation and experimental results verify the validity of the proposed method, whose measurement accuracy increased by 10.72% compared with that of traditional method.