Camera Calibration from a Single Imaged Ellipsoid: A Moon Calibration Algorithm
It enables camera calibration for spacecraft using planetary bodies, with potential generalization to terrestrial applications, representing a novel approach but incremental in the broader field of camera calibration.
This work tackles the problem of camera calibration from a single imaged ellipsoid, such as a moon, by combining the imaged ellipse with observer state information, achieving estimates of focal length within 1.0 mm and principal point within 10 pixels from a single image, with uncertainties reducing to 0.5 mm and 3.1 pixels with multiple images.
This work introduces a method that applies images of the extended bodies in the solar system to spacecraft camera calibration. The extended bodies consist of planets and moons that are well-modeled by triaxial ellipsoids. When imaged, the triaxial ellipsoid projects to a conic section which is generally an ellipse. This work combines the imaged ellipse with information on the observer's target-relative state to achieve camera calibration from a single imaged ellipsoid. As such, this work is the first to accomplish camera calibration from a single, non-spherical imaged ellipsoid. The camera calibration algorithm is applied to synthetic images of ellipsoids as well as planetary images of Saturn's moons as captured by the Cassini spacecraft. From a single image, the algorithm estimates the focal length and principal point of Cassini's Narrow Angle Camera within 1.0 mm and 10 pixels, respectively. With multiple images, the one standard deviation uncertainty in focal length and principal point estimates reduce to 0.5 mm and 3.1 pixels, respectively. Though created for spacecraft camera calibration in mind, this work also generalizes to terrestrial camera calibration using any number of imaged ellipsoids.