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出 处:《Chinese Optics Letters》2010年第1期33-37,共5页中国光学快报(英文版)
基 金:supported partially by the National"863"Program of China(No.2005AA420240);the Doctoral Foundation of the Ministry of Education of China(No.20070287055)
摘 要:System calibration, which usually involves complicated and time-consuming procedures, is crucial for any three-dimensional (3D) shape measurement system based on vision. A novel improved method is proposed for accurate calibration of such a measurement system. The system accuracy is improved with considering the nonlinear measurement error created by the difference between the system model and real measurement environment. We use Levenberg-Marquardt optimization algorithm to compensate the error and get a good result. The improved method has a 50% improvement of re-projection accuracy compared with our previous method. The measurement accuracy is maintained well within 1.5% of the overall measurement depth range.System calibration, which usually involves complicated and time-consuming procedures, is crucial for any three-dimensional (3D) shape measurement system based on vision. A novel improved method is proposed for accurate calibration of such a measurement system. The system accuracy is improved with considering the nonlinear measurement error created by the difference between the system model and real measurement environment. We use Levenberg-Marquardt optimization algorithm to compensate the error and get a good result. The improved method has a 50% improvement of re-projection accuracy compared with our previous method. The measurement accuracy is maintained well within 1.5% of the overall measurement depth range.
关 键 词:BIREFRINGENCE CALIBRATION Error compensation MEASUREMENTS Model structures
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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