A stereo camera self-calibration method using DIC-based planar feature matching

In stereo vision, depth information is obtained by establishing a spatial correspondence between the two cameras based on the triangulation, so it is important to maintain high-accuracy calibration parameters of the stereo cameras. However, under some extreme conditions, such as high temperature, high pressure, and strong vibration, there are irreversible changes in the parameters of the camera lens and the spacing between two cameras, which leads to the invalidation of known calibration parameters. In this paper, a stereo camera self-calibration method is proposed to get high-accuracy feature point pairs from speckle planar image pairs using the DIC-based grid point matching technique. The calibration result of cameras is corrected after SVD and RANSC iteration, which can enhance the quality of stereo rectification and the 3D measurement accuracy of stereo vision.