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基于交比不变性的分区域相机畸变矫正

247    2020-09-17

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作者:李佳莹, 罗哉, 江文松, 郭斌

作者单位:中国计量大学计量测试工程学院,浙江 杭州 310018


关键词:相机标定;镜头畸变;交比不变性;分区域


摘要:

针对相机不同畸变程度的大视场区域很难同步等精度标定的问题,提出基于交比不变性的分区域相机畸变矫正方法。以相机主点为中心,按距离加权原则将相机视场区域分割为若干个区域;利用各分割视场区域中的多组共线4点坐标建立交比不变性畸变系数求解模型;据此实现分区域相机畸变矫正。此方法的测量误差的评价是通过比较直线偏移量来实现的。实验表明,两区域分割法和三区域分割法的直线偏移量误差比传统不分区方法分别降低14.7%和29.93%。此方法在传统方法的基础上进行改进,解决大视场区域非等精度标定。从实验结果可得到此方法优于传统方法。


Sub-regional camera distortion correction based on cross-ratio invariance
LI Jiaying, LUO Zai, JIANG Wensong, GUO Bin
College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018,China
Abstract: Since the distortion of a camera varies from large field of view (FOV) to FOV, a sub-regional camera distortion correction method was proposed based on cross-ratio invariance, in this paper, to calibrate the visual model with equal precision at the same time. The region of the FOV was divided into several parts by the distance weighting principle according to optical center of the camera. The distortion coefficient-solving model for each sub-region of FOV was built by using multiple sets of data with four points of a line based on the cross-ratio invariance principle. The sub-region of the FOV could be calibrated by the calculated distortion coefficients. The measurement error of the method was evaluated by the average linear offset(ALO). The experimental result showed that, comparing with the traditional non-partitioned algorithm, the error of ALO have a 14.7% reduction for the two-region algorithm and 29.93% reduction for three-region algorithm, respectively. This method was improved on the traditional method, and solved the unequal precision calibration in the large FOV. In all, the proposed method is superior to the traditional method.
Keywords: camera calibration;lens distortion;cross-ratio invariance;sub-region
2020, 46(8):125-130  收稿日期: 2019-11-19;收到修改稿日期: 2019-12-06
基金项目: 国家重点研发计划(2018YFF01012006,2017YFF0206306);浙江省重点研发计划(2018C01063);国家自然科学基金(51675499)
作者简介: 李佳莹(1993-),女,浙江绍兴市人,硕士研究生,专业方向为机器视觉及精密测量
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