Calibration Algorithm for Structured Light 3D Vision Measuring System

A novel procedure is proposed to calibrate a structured light 3D vision measuring system. Firstly, robust subpixel and substripe calibration methods are proposed for the camera and the projector. Secondly, a novel approach is introduced to solve the nature restriction of the structure light system: the calibration of the camera and the project is restricted with the locations of them. Thirdly, the systemic calibration procedure based on rigidity constraint to system architecture is developed according to the stereo vision, the L-M optimization algorithm is used to adjust the internal and external parameters of each respective component in this system. Finally, this system calibration algorithm is proved to be robustness and effectiveness by reconstructing a 3-D standard cylinder. The experiment results show that the precision of single view is about 0.06mm over a measurement volume of 250mm 200mm 250mm. It roughly meets the need of the industry.