Camera calibration from geometric feature of spheres

被引：0
作者：
Zhao, Yuntao [1 ]
Sun, Junhua [1 ]
Chen, Xu [1 ]
Gong, Zheng [1 ]
机构：
[1] Precision Opto-Mechatronics Technology Key-Laboratory of Education Ministry, Beijing University of Aeronautics and Astronautics
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2014年 / 40卷 / 04期
关键词：
Camera calibration; Geometric feature; Intrinsic parameters; Sphere; Vision measurement;
D O I：
10.13700/j.bh.1001-5965.2013.0293
中图分类号：
学科分类号：
摘要：
Camera calibration with spheres has little demand on image number, camera shooting angle and high adaptivity to occlusion, which has an obvious advantage in applications. A novel camera calibration method was proposed based on geometric feature of sphere projection model. This algorithm used two projection conics of spheres and solved the intrinsic parameters of the camera. The projection conics were obtained from image of two spheres at different positions. The symmetry axis and common tangent of the projection conics were used to solve the principal point and the projections of sphere centers. Then normalized focal length was computed based on geometric relationship of the principal point and projection of sphere center. Finally intrinsic parameters were obtained using optimization algorithm. Simulation data experiments analyze the main error factors and real data results show that the proposed method is reliable and the error is less than 5% comparing with planar target method.
引用
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页码：558 / 563
页数：5
相关论文
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