基于多重约束的3D测量双目相机标定  

3D Binocular Camera Calibration Based on Multiple Constraints

作　　者：吴政 高成[1] 刘永鑫 WU Zheng;GAO Cheng;LIU Yongxin(Shenyang University of Technology,Liaoyang 111003)

机构地区：[1]沈阳工业大学,辽阳111003

出　　处：《计算机与数字工程》2025年第2期369-377,408,共10页Computer & Digital Engineering

摘　　要：三维光学测量系统是三维重建的重要方法之一,在相机标定时,通过计算和优化二维坐标系下的重投影误差,求取相机的内外参数。在三维光学测量系统,因相机标定不精确导致重投影误差偏大,物体的三维重建精度也受影响。为了提升三维重建的精度,论文提出一种基于多重约束的相机标定方法。该方法在三维坐标系下能计算出更精确的重投影误差,从而提升三维重建的精度。在三维重建实验中,基于多重约束的相机标定方法操作简便、准确,三维重建精度有了显著提升,且在校准过程中,对校准板的位置没有严格的要求。3D optical measurement system is one of the important methods of 3D reconstruction.During camera calibration,the internal and external parameters of the camera can be obtained by calculating and optimizing the reprojection error in the 2D co⁃ordinate system.In 3D optical measurement system,the reprojection error is large due to the imprecise camera calibration,and the 3D reconstruction accuracy of objects is also affected.In order to improve the accuracy of 3D reconstruction,a camera calibration method based on multiple constraints is proposed.This method can calculate more accurate reprojection error in 3D coordinate sys⁃tem and improve the accuracy of 3D reconstruction.In the 3D reconstruction experiment,the camera calibration method based on multiple constraints is simple and accurate,and the 3D reconstruction accuracy is significantly improved.In the calibration pro⁃cess,there is no strict requirement on the position of the calibration plate.

关 键 词：3D测量 多重约束优化 相机标定 三维重建 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]