Improvement of calibration method for multi-camera line structured light vision system

This paper proposes an improved solution for the calibration of multi-camera line structured light vision systems, which is aimed at the problem of discontinuity or even faults in the overlapping area of measurement in the coordinate system. First, the two-dimensional target is placed in different poses in the overlapping area of two adjacent cameras, to obtain the initial matching matrix of the adjacent camera coordinate system. Then, an optimization objective function is constructed to optimize the internal and external parameters of the camera based on the characteristics of the ring-shaped measurement field itself, to achieve the best matching of the overlapping area. The experimental results show that, compared to the traditional matching method, the method proposed in this paper reduces the matching error of adjacent cameras by about 66.2 % , the accumulated error is reduced by about 91.8 % , and the overall measurement accuracy is improved by 4.5 times.