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

基于离心圆共自配极三角形的光场相机标定

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: qwang@nwpu.edu.cn

Received: 22 October 2020

Abstract

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.

摘要

光场成像存在空间和角度分辨率折衷问题，导致从光场中提取角点及直线特征的精度不高，影响光场相机标定精度，为此提出了一种基于离心圆共自配极三角形的光场相机标定方法。分析了离心圆极点-极线关系，推导了离心圆共自配极三角形的性质。根据光场相机多投影中心模型对平面及二次曲面的映射，设计了一种离心圆标定板，重建了共自配极三角形并计算平面单应，实现了基于离心圆共自配极三角形的光场相机标定的线性初始化和非线性优化方法。仿真和真实数据上的实验结果表明该方法可精确标定光场相机，且稳定便捷。