光学精密工程2025，Vol.33Issue(23)：3618-3629,12.DOI:10.37188/OPE.20253323.3618
分步光束法平差多目视觉测量系统
Stepwise bundle adjustment-based multi-camera vision measurement system
摘要
Abstract
Due to its high measurement accuracy,rapid acquisition speed,large measurable range,and non-contact characteristics,the multi-camera vision measurement system has been widely applied to high-precision spatial positioning of dynamic targets in aerospace,automotive,and related fields.However,ex-isting multi-camera vision measurement systems based on bundle adjustment cannot simultaneously satisfy the stringent requirements of high accuracy and high speed in three-dimensional reconstruction of dynamic target positions.In this study,a reconstruction algorithm for multi-camera vision measurement systems based on stepwise bundle adjustment is proposed.System parameters with different orders of magnitude are optimized sequentially,and the rapid execution of the reconstruction algorithm is implemented on an field-programmable gate array(FPGA)platform.Experimental results demonstrate that the proposed stepwise bundle adjustment reconstruction algorithm achieves an average spatial reprojection error of less than 68 μm,outperforming both the direct linear transformation reconstruction algorithm and the conven-tional bundle adjustment reconstruction algorithm.The designed FPGA hardware architecture attains a processing speed of approximately 40 frame/s for four channels of high-definition image data(2 048×2 048×8 bit)simultaneously,thereby meeting the real-time,high-precision measurement requirements for the spatial positioning of dynamic targets.关键词
多目视觉测量/分步光束法平差/空间重投影误差/现场可编程门阵列Key words
multi-camera vision measurement/stepwise bundle adjustment/spatial reprojection error/Field-Programmable Gate Array(FPGA)分类
通用工业技术引用本文复制引用
ZHANG Rui,ZHOU Changyun,BIAN Fu,XUE An,ZHANG Jin,LI Weishi,YANG Fei,ZHENG Zewen..分步光束法平差多目视觉测量系统[J].光学精密工程,2025,33(23):3618-3629,12.基金项目
国家自然科学基金资助项目(No.52175504) （No.52175504）
国家重大科研仪器研制资助项目(No.51927811) （No.51927811）
安徽省市场监督管理局科技计划资助项目(No.2022MK050) （No.2022MK050）
