光学学报, 2019, 39 (4): 0415001, 网络出版: 2019-05-10
基于归一化算法的一维标定物多相机标定 下载: 1274次
Multi-Camera Calibration of One-Dimensional Calibration Objects Based on Normalization Algorithm
机器视觉 一维标定物 多相机标定 归一化算法 machine vision one-dimensional calibration objects multi-camera calibration normalization algorithm
摘要
为了提高多相机一维标定的精度,提出了一种基于归一化算法的分层逐步标定法,由基本矩阵获得射影投影矩阵,进而转换成度量投影矩阵。对标定物图像特征点的坐标进行归一化预处理,以提高标定精度,同时又保持线性方法快速、易实现的优点。在所提标定方法中,一维标定物可自由运动,不受场地环境约束,使用灵活。通过仿真和真实实验,验证了归一化特征点坐标可以显著提高标定结果的精度和稳健性。
Abstract
In order to improve the accuracy of one-dimensional (1D) multi-camera calibration, a gradual calibration method based on the normalization algorithm is proposed, where the projective projection matrices are first obtained from the fundamental matrices and then transformed into the metric projection matrices. The coordinates of the image feature points of the calibration object are pre-processed by normalization, improving the accuracy of calibration and simultaneously maintaining the advantages of fast and easy implementation of the linear method. In the proposed calibration method, the 1D calibration objects can move freely without restriction of the site environment and are flexible to use as well. The simulation and real experiments demonstrate that the normalized feature point coordinates can substantially improve the accuracy and robustness of calibration results.
全燕鸣, 覃镇波, 李维诗, 张瑞. 基于归一化算法的一维标定物多相机标定[J]. 光学学报, 2019, 39(4): 0415001. Yanming Quan, Zhenbo Qin, Weishi Li, Rui Zhang. Multi-Camera Calibration of One-Dimensional Calibration Objects Based on Normalization Algorithm[J]. Acta Optica Sinica, 2019, 39(4): 0415001.