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Proceedings Paper

Camera lens calibration based on virtual model for scanning system
Author(s): Xianbin Sun; Dehua Li
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Paper Abstract

Traditional camera lens calibrations need a 3D physical model with many control points on it, the coordination of these points are measured high precision. These points should be evenly distributed in space for calibration precision, and it is difficult to make the model especially big model. In this paper, a calibration plate was made and the plate was moved in its normal direction, parallel, no rotation, it is implemented to provide large area 3D control points with variable Z values, the images of the plate were made in different places. the moving plate is a 3D model, moreover, it could increase control points significant, the plate is much easier to make than traditional 3D physical model, the plate could be big one, the calibration parameters of camera lens were calculated by different control points group, get the mean value of these parameters. This method is proved high precision, stabilization and robustness. Experiments show such an approach is effective for reconstructing 3D objects in computer vision system.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961S (30 October 2009); doi: 10.1117/12.838397
Show Author Affiliations
Xianbin Sun, Huazhong Univ. of Science and Technology (China)
Hubei Univ. of Technology (China)
Dehua Li, Huazhong Univ of Science and Technology (China)

Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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