Lu Zhenghai, Lv Yaowen, Ai Zhiqing, Suo Ke, Gong Xuanrui, Wang Yuxuan
School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Sensors (Basel). 2022 Sep 28;22(19):7385. doi: 10.3390/s22197385.
In response to the problem of the small field of vision in 3D reconstruction, a 3D reconstruction system based on a catadioptric camera and projector was built by introducing a traditional camera to calibrate the catadioptric camera and projector system. Firstly, the intrinsic parameters of the camera and the traditional camera are calibrated separately. Then, the calibration of the projection system is accomplished by the traditional camera. Secondly, the coordinate system is introduced to calculate, respectively, the position of the catadioptric camera and projector in the coordinate system, and the position relationship between the coordinate systems of the catadioptric camera and the projector is obtained. Finally, the projector is used to project the structured light fringe to realize the reconstruction using a catadioptric camera. The experimental results show that the reconstruction error is 0.75 mm and the relative error is 0.0068 for a target of about 1 m. The calibration method and reconstruction method proposed in this paper can guarantee the ideal geometric reconstruction accuracy.
针对三维重建中视野小的问题,通过引入传统相机对折反射相机和投影仪系统进行标定,构建了基于折反射相机和投影仪的三维重建系统。首先,分别对标定相机和传统相机的内参进行标定。然后,由传统相机完成投影系统的标定。其次,引入坐标系分别计算折反射相机和投影仪在坐标系中的位置,得到折反射相机与投影仪坐标系之间的位置关系。最后,利用投影仪投射结构光条纹,通过折反射相机实现重建。实验结果表明,对于约1m的目标,重建误差为0.75mm,相对误差为0.0068。本文提出的标定方法和重建方法能够保证理想的几何重建精度。