一种三维形貌测量系统的基于误差补偿的系统标定三步法
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.
引用本文（GB/T 7714）
Haihua Cui, Wenhe Liao, Xiaosheng Cheng, 等. 一种三维形貌测量系统的基于误差补偿的系统标定三步法[J]. Chinese Optics Letters, 2010.
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