Volume 39, Number 3, June 2021
|521 - 528
|09 August 2021
Common self-polar triangle of separate circles for light field camera calibration
School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China
王庆(1969-), 西北工业大学教授、博士生导师, 主要从事图像处理、计算机视觉及计算摄像学研究。e-mail: firstname.lastname@example.org
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.
Key words: light field camera calibration / self-polar triangle / separate circles / common self-polar triangle of separate circles / algorithm
关键字 : 光场相机标定 / 自配极三角形 / 离心圆 / 离心圆共自配极三角形 / 算法
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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