基于彩色交叉条纹的相机标定  

Camera calibration based on color cross fringe

作　　者：贺立建 刘伟玲[1] 张宗华[1,2] 高楠 高峰[2] HE Lijian;LIU Weiling;ZHANG Zonghua;GAO Nan;GAO Feng(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300401,China;Center for Precision Technology,University of Huddersfield,Huddersfield HD13DH,UK)

机构地区：[1]河北工业大学机械工程学院,天津300401 [2]赫德斯菲尔德大学精密技术中心,赫德斯菲尔德HD13DH

出　　处：《光学技术》2023年第3期300-304,共5页Optical Technique

基　　金：国家自然科学基金(52075147);河北省科学技术厅外专引才引智项目。

摘　　要：针对相位标靶标定相机需采集多幅条纹图获取相位的问题,提出了一种基于彩色交叉条纹的相机标定方法。本方法在每个标定位置仅需一幅条纹图就可以完成特征标识点的提取;通过液晶显示屏显示一幅红蓝交叉条纹图像,由相机拍摄,采用傅里叶变换和多频外差法分别得到水平和垂直方向的绝对相位;根据相位标靶的空间位置与图像中绝对相位的精确对应关系,标定相机内参,采用非线性最小二乘法优化。基于重投影误差的实验结果表明,本方法可以快速精确的实现相机标定。Aiming at the problem that the phase target calibration camera needs to collect multiple patterns to obtain phase,a camera calibration method based on color cross fringe is proposed.This method only needs one fringe image to complete the extraction of feature identification points at each calibration position.A red and blue cross fringe image is display on a LCD(liquid crystal display)and captured by a camera.The Fourier transform and multi-frequency heterodyne method are used to obtain the absolute phase in the horizontal and vertical directions.The internal parameters of the camera are calibrated by using the exact correspondence between the spatial position of the phase target and the absolute phase in the image.The interior parameters of the camera are optimized by a nonlinear least square method.The experimental results based on the re-projection error show that this method can achieve camera calibration quickly and accurately.

关 键 词：交叉条纹 绝对相位 相机标定 非线性最小二乘法 重投影误差 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术] TH691.9[自动化与计算机技术—计算机科学与技术]