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Proceedings Paper

An algorithm for computing extrinsic camera parameters for far-range photogrammetry based on essential matrix
Author(s): Huimin Cai; Kejie Li; Meilian Liu
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Paper Abstract

Far-range photogrammetry is widely used in the location determination problem in some dangerous situation. In this paper we discussed the camera calibration problem which can be used in outdoors. Location determination based on stereo vision sensors requires the knowledge of the camera parameters, such as camera position, orientation, lens distortion, focal length etc. with high precision. Most of the existed method of camera calibration is placing many land markers whose position is known accurately. But due to large distance and other practical problems we can not place the land markers with high precision. This paper shows that if we don't know the position of the land marker, we also can get the extrinsic camera parameters with essential matrix. The real parameters of the camera and the computed parameters of the camera give rise to the geometric error. We develop and present theoretical analysis of the geometric error and how to get the extrinsic camera parameters with high precision in large scale measurement. Experimental results of the project which is used to measure the drop point of a high speed object testify the method we proposed with high precision compared with traditional methods.

Paper Details

Date Published: 10 November 2010
PDF: 7 pages
Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78501Y (10 November 2010);
Show Author Affiliations
Huimin Cai, Beijing Institute of Technology (China)
Kejie Li, Beijing Institute of Technology (China)
Meilian Liu, Beijing Institute of Technology (China)
Beijing Technology and Business Univ. (China)

Published in SPIE Proceedings Vol. 7850:
Optoelectronic Imaging and Multimedia Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng; Tsutomu Shimura, Editor(s)

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