An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques

Authors:
Wei Sun;R. Cooperstock
Affiliations:
McGill University, Department of Electrical and Computer Engineering, Centre for Intelligent Machines, 3480 University Street, H3A 2A7, Montreal, Quebec, Canada;McGill University, Department of Electrical and Computer Engineering, Centre for Intelligent Machines, 3480 University Street, H3A 2A7, Montreal, Quebec, Canada
Venue:
Machine Vision and Applications
Year:
2006

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Abstract

This paper presents an empirical study investigating the effects of training dataquantity, measurement error, pixel coordinate noise, and the choice of camera model, oncamera calibration accuracy, based on three publicly available techniques, developed byTsai, Heikkilä and Zhang. Results are first provided for asimulated camera system and then verified through carefully controlled experiments using real-world measurements. Our aims are to provide suggestions to researchers who require an immediate solution for camera calibration and a warning of the practical difficulties one may encounter in a real environment. In addition, we offer some insight into the factors to keep in mind when selecting a calibration technique. Finally, we hope that this paper can serve as an introduction to the field for those newly embarking upon calibration-related research.