Uncertainty evaluation of camera model parameters

Camera calibration is an important task for vision-based measurement systems since it estimates the values of camera model parameters. The uncertainty of these parameters is required in order to evaluate the uncertainty of vision-based final measurements. This paper deals with a procedure for the propagation of the uncertainty through calibration algorithms and mainly focuses on the algorithms for the localization of target points in calibration images. Numerical results will be reported highlighting the usefulness of the method in the set-up of a vision-based measurement system.