Camera calibration plays an important role in the 3D reconstruction task. However, in the calibration process, users need to select some key images from a large number of calibration board images for further performing the maximum likelihood estimation of camera model parameters. Due to the subjectivity of this estimation, it is difficult to guarantee the consistency of the results obtained by different testers. In this paper, a new camera calibration image selection algorithm is proposed to obtain high accuracy intrinsic parameters. Users only...
