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Proceedings Paper

Plane-based calibration of cameras with zoom variation
Author(s): Chao Yu; Gaurav Sharma
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Paper Abstract

Plane-Based calibration algorithms have been widely adopted for the purpose of camera calibration task. These algorithms have the advantage of robustness compared to self-calibration and flexibility compared to traditional algorithms which require a 3D calibration pattern. While the common assumption is that the intrinsic parameters during the calibration process are fixed, limited consideration has been given to the general case when some intrinsic parameters maybe varying, others maybe fixed or known. We first discuss these general cases for camera calibration. Using a counting argument we enumerate all cases where plane-based calibration may be utilized and list the number of images required for each of these cases. Then we extend the plane-based framework to the problem of cameras with zoom variation, which is the most common case. The approach presented and may be extended to incorporate additional varying parameters described in the general framework. The algorithm is tested using both synthetically generated images and actual images captured using a digital camera. The results indicate that the method performs very well and inherits the advantage of robustness and flexibility from plane-based calibration algorithms.

Paper Details

Date Published: 19 January 2006
PDF: 9 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 607710 (19 January 2006); doi: 10.1117/12.650944
Show Author Affiliations
Chao Yu, Univ. of Rochester (United States)
Gaurav Sharma, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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