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Proceedings Paper

Camera internal parameter calibration based on rotating platform and image matching
Author(s): Wenguang Yang; Weixian Qian; Ye Qian; Fan Wang
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Paper Abstract

Camera’s internal parameter calibration is an important problem in computer vision. The moment, a precise targets like checkboard is required when camera calibration is performed. But this method is not suitable for a telephoto lens. In order to overcome this problem, a new camera calibration model is constructed by installing the debugged telephoto camera on an accurate two-dimensional rotating platform. Let the camera move around the rotating axis of the rotating platform. The camera takes pictures of distant objects directly. Then, the next picture is get by rotating the two-dimensional platform. The image coordinates , of the same point in space, in different images are obtained by image matching. The motion matrix of the camera is calculated from the readings of the two-dimensional rotating platform. Last, the optimization equation can be enumerated to solve the internal parameters. The experimental results show that the internal parameters obtained by the algorithm can satisfy the calculation accuracy.

Paper Details

Date Published: 6 September 2019
PDF: 8 pages
Proc. SPIE 11136, Optics and Photonics for Information Processing XIII, 111360Z (6 September 2019); doi: 10.1117/12.2525419
Show Author Affiliations
Wenguang Yang, Nanjing Univ. of Science and Technology (China)
Weixian Qian, Nanjing Univ. of Science and Technology (China)
Ye Qian, Nanjing Univ. of Science and Technology (China)
Fan Wang, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 11136:
Optics and Photonics for Information Processing XIII
Khan M. Iftekharuddin; Abdul A. S. Awwal; Victor H. Diaz-Ramirez; Andrés Márquez, Editor(s)

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