Translator Disclaimer
6 October 1994 Comparative study of camera calibration algorithms with application to spacecraft navigation
Author Affiliations +
Proceedings Volume 2350, Videometrics III; (1994)
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
This paper deals with the problem of camera calibration based on 3D feature measurements. It occurs in industrial 3D measurement systems, as well as in autonomous navigation systems, where the estimation of motion parameters is required. We have selected the problem of extrinsic calibration (exterior orientation) of a camera that is looking at flat or almost flat surfaces (or terrain). This situation causes numerical and stability problems to many of the known calibration methods. To study the impact of flatness of the reference surface (or calibration target) on the calibration errors we have done a comparative study using sixteen available calibration procedures. The major emphasis was on robustness with respect to 3D measurement errors and sensitivity to flatness. A new calibration method is also investigated, which can be used independently of whether the calibration reference surface is flat, almost flat, or rugged.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wolfgang Poelzleitner and Michael Ulm "Comparative study of camera calibration algorithms with application to spacecraft navigation", Proc. SPIE 2350, Videometrics III, (6 October 1994);


Pose estimation with correspondences determination
Proceedings of SPIE (January 11 2018)
Toward active pose estimation of a grasped object
Proceedings of SPIE (August 05 1993)
Camera calibration based on coplanar points
Proceedings of SPIE (February 23 1993)
Robust dynamic 3D motion estimation using landmarks
Proceedings of SPIE (October 21 1993)

Back to Top