Appearance-based parameter optimization for accurate stereo camera calibration
This paper proposes a method of camera calibration that compares the appearance of two images. Unlike conventional methods that evaluate point-to-point correspondences, ours makes a dense evaluation of the correspondence between two images. This enables us to robustly and efficiently calibrate range finders that are camera based. We explain the main principles and algorithm underlying our method, and we also present the results obtained from simulations and experimentally obtained data.
camera parameter sad gray code image correspondence