While the Brown self‐calibration model has been widely used in close range photogrammetry for over 40 years, the negative effects of the well‐known high correlations between parameters are not clear. This paper presents a novel view and study of these correlations, which are shown to be inherent in the Brown model due to its polynomial nature; they occur exactly as with additional parameters in aerial photogrammetry. Although it has high correlations with the decentring distortion parameters, the principal point can be located precisely (up to a few pixels) in self‐calibration with an appropriate image configuration. An alternative model of the in‐plane distortion is proposed, which helps to reduce the correlation with principal distance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.