caa a22 4500 467936730 CHVBK 20180406152959.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s00138-006-0014-6 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0014-6 An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques [Elektronische Daten] [Wei Sun, Jeremy Cooperstock] 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. Springer-Verlag, 2006 Camera calibration nationallicence Camera parameters nationallicence Coordinate transformations nationallicence Distortion models nationallicence Accuracy evaluation nationallicence Sun Wei Department of Electrical and Computer Engineering, Centre for Intelligent Machines, McGill University, 3480 University Street, H3A 2A7, Montreal, Quebec, Canada aut Cooperstock Jeremy Department of Electrical and Computer Engineering, Centre for Intelligent Machines, McGill University, 3480 University Street, H3A 2A7, Montreal, Quebec, Canada aut Machine Vision and Applications Springer-Verlag 17/1(2006-04-01), 51-67 0932-8092 17:1<51 2006 17 138 https://doi.org/10.1007/s00138-006-0014-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0014-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sun Wei Department of Electrical and Computer Engineering, Centre for Intelligent Machines, McGill University, 3480 University Street, H3A 2A7, Montreal, Quebec, Canada aut NATIONALLICENCE 700 1- Cooperstock Jeremy Department of Electrical and Computer Engineering, Centre for Intelligent Machines, McGill University, 3480 University Street, H3A 2A7, Montreal, Quebec, Canada aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/1(2006-04-01), 51-67 0932-8092 17:1<51 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer