A Rapid Method for Obtaining Camera Intrinsic Parameters Based on a Stereo Calibration Target

In this study, we propose a rapid method for obtaining camera intrinsic parameters based on a stereo calibration target. First, we selected a texture-rich 3D calibration target and performed sparse reconstruction to establish the correspondence between 3D points resulting from the sparse reconstruction and 2D points in a specific position image, known as the base image. Based on this result, for any camera awaiting calibration, the camera intrinsic parameters and lens distortion coefficients can be determined by capturing only one image. Experimental results show that, compared to Zhang's method, our method not only obtains a greater number of feature points with a more uniform distribution, addressing the issue of sparse corner points at image edges, but also achieves lower reprojection errors and higher calibration accuracy. Furthermore, this method requires only a single image captured from the uncalibrated camera, greatly enhancing the calibration efficiency, and making it suitable for batch calibration of cameras on industrial pipelines.