Three-dimensional Reconstruction of Complex Spatial Surface Based on Line Structured Light

In three-dimensional reconstruction technology, it mainly includes the active time of flight method and the passive binocular stereo vision method. However, the time of flight method is easy to be affected by the external environment illumination and the corresponding device is expensive. The matching speed of the binocular stereo vision method is slow. Therefore, this paper chooses the line structured light method with good real-time performance, high accuracy and strong stability. The complex free-form surface is taken as the research object. Due to the serious mutual occlusion and high order derivability at any point, it is difficult to achieve complete 3D reconstruction on this surface. In this paper, a complete algorithm is designed for free-form surface reconstruction. Firstly, in order to solve the problem of beam discontinuity and sensitivity to strong light in the process of laser fringe center extraction, the gray gravity center method combining R-channel is proposed. Secondly, to solve the problems of the traditional optical plane calibration with few points and complex calibration process, a freely moving chessboard calibration method is proposed to improve the flexibility and accuracy of calibration. Then, the 3D point cloud is obtained and the surface is reconstructed using the measurement platform.