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Proceedings Paper

Camera calibration method based on bundle adjustment
Author(s): Liansheng Sui; Ting Zhang
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Paper Abstract

Camera calibration is the most important step for stereovision measuring system, which affects the accuracy and stability of the measuring system directly. In order to compute the intrinsic and extrinsic parameters of camera, at least seven feature points should be extracted from the calibration board, and the world coordinates of these points should be consistent with their camera coordinates. In this paper, a special planar board utilizing the circular blobs of different sizes is used, and the correspondence between world and image coordinates of these feature points could be built automatically. Based on an existing algorithm that is used for single camera calibration, the intrinsic and lens radial distortion parameters can be computed with several image pairs of the planar board that are captured by two cameras in different orientations as well as the initial orientation and location of cameras. In order to improve the accuracy of object reconstruction, the bundle adjustment algorithm is further used to optimize the orientation and location of camera. Experiment results demonstrate the efficiency of proposed method.

Paper Details

Date Published: 14 April 2010
PDF: 5 pages
Proc. SPIE 7522, Fourth International Conference on Experimental Mechanics, 75225D (14 April 2010); doi: 10.1117/12.847950
Show Author Affiliations
Liansheng Sui, Xi'an Univ. of Technology (China)
Ting Zhang, Xi'an Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7522:
Fourth International Conference on Experimental Mechanics
Chenggen Quan; Kemao Qian; Anand Krishna Asundi; Fook Siong Chau, Editor(s)

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