The process and definition of camera calibration have change greatly over recent years. Aerial metric cameras calibration, for which laboratory and field calibration procedures were a separate process, was performed before and independent of any actual mapping data collection using precise calibration fixtures with an assumption that the camera parameters determined would remain valid for a significant period. In contrast, non-metric cameras are characterized by unstable intrinsic parameters over the times and they are vulnerable to the engine and other vibrations during flight data acquisitions. Moreover, there is no standard calibration procedures exist for these cameras. But, since non-metric camera self-calibration augments the concept of calibration as a part of the measurement process, it can determine the camera intrinsic parameters at the time of the data acquisition as long as highly-convergent geometry and the use of multiple exposures are employed. Therefore, this paper investigates variations of the lens distortion components with object distance within the photographic field by using the self-calibration method. The use of redundant flight paths and tilted camera is also incorporated to ascertain the stability of the principal distance and the principal points during the flight mission. During the experiments, a series of flight mission is conducted to photograph test field areas from over a relatively flat area to highly mountainous one. It is revealed that the radial, decentering, and affinity distortion parameters are more stable than that of the principal distance and principal points against vibrations.
A Fast Self-calibration Method of Camera with Varying Intrinsic Parameters based on Vanishing Points
