Easy calibration method for central catadioptric cameras

被引：22
作者：
Deng, Xiao-Ming [1 ]
Wu, Fu-Chao [1 ]
Wu, Yi-Hong [1 ]
机构：
[1] National Laboratory of Pattern Recognition, Institute of Automation, Chinese Acad. of Sci.
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2007年 / 33卷 / 08期
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
2D calibration pattern; Calibration; Central catadioptric camera; Computer vision;
D O I：
10.1360/aas-007-0801
中图分类号：
学科分类号：
摘要：
Central catadioptric cameras are widely used in virtual reality and robot navigation, and the camera calibration is a prerequisite for these applications. In this paper, we propose an easy calibration method for central catadioptric cameras with a 2D calibration pattern. Firstly, the bounding ellipse of the catadioptric image and field of view (FOV) are used to obtain the initial estimation of the intrinsic parameters. Then, the explicit relationship between the central catadioptric and the pinhole model is used to initialize the extrinsic parameters. Finally, the intrinsic and extrinsic parameters are refined by nonlinear optimization. The proposed method does not need any fitting of partial visible conic, and the projected images of 2D calibration pattern can easily cover the whole image, so our method is easy and robust. Experiments with simulated data as well as real images show the satisfactory performance of our proposed calibration method.
引用
收藏
页码：801 / 808
页数：7
相关论文
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