Common self-polar triangle of separate circles for light field camera calibration

被引：2
|
作者：
Zhang Q. [1 ]
Wang Q. [1 ]
机构：
[1] School of Computer Science, Northwestern Polytechnical University, Xi'an
来源：
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2021年 / 39卷 / 03期
关键词：
Algorithm; Common self-polar triangle of separate circles; Light field camera calibration; Self-polar triangle; Separate circles;
D O I：
10.1051/jnwpu/20213930521
中图分类号：
学科分类号：
摘要：
Due to the trade-off between spatial resolution and angular resolution of the light field, it is difficult to extract high precision corner points and line features from light fields for calibration. A novel calibration pattern of separate circles is designed, and a light field camera calibration method based on common self-polar triangle with respect to separate circles is proposed in this paper. First, we explore the uniquity and reconstruction of common self-polar triangle with respect to sperate circles. Then, based on projections of the multi-projection-center model on the plane and conic, the common self-polar triangle on the sub-aperture image is reconstructed and used to estimate planar homography. Finally, a light field camera calibration algorithm is then proposed, including linear initialization and non-linear optimization. Experimental results on both synthetic and real data have verified the effectiveness and robustness of the method and algorithm proposed. © 2021 Journal of Northwestern Polytechnical University.
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页码：521 / 528
页数：7
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