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.
© 2010 Chinese Optics Letters
Haihua Cui, Wenhe Liao, Xiaosheng Cheng, Ning Dai, and Tianran Yuan, "A three-step system calibration procedure with error compensation for 3D shape measurement," Chin. Opt. Lett. 8, 33-37 (2010)