河南理工大学学报（自然科学版）2026，Vol.45Issue(4)：22-29,8.DOI:10.16186/j.cnki.1673-9787.2026020009
基于Scaramuzza畸变校正模型的全景相机地铁隧道管片提取技术
Segment extraction method for metro tunnel linings based on the Scaramuzza distortion correction model
摘要
Abstract
Objectives To overcome the limitations of high cost and complex data processing in traditional tunnel segment monitoring technologies,as well as the influence of wide-angle lens distortion of panoramic cameras on the reliability of segment feature extraction,this study investigates a metro tunnel segment ex-traction method based on the Scaramuzza distortion correction model using panoramic cameras to meet the requirements of routine and refined monitoring of metro tunnel segments and ensure tunnel operation safety.Methods Focusing on high-precision segment monitoring and accurate extraction of geometric features,an imaging geometric mapping relationship is established based on the Scaramuzza model,and homogeneous constraint equations are constructed to estimate the intrinsic and extrinsic camera parameters.The optimal polynomial order is determined using a stepwise order-increasing verification method to optimize calibration performance,with reprojection error adopted as the core evaluation index.After lens distortion correction,a 3D tunnel model is constructed and ring-wise unfolding of tunnel segments is achieved.The effectiveness of the proposed method is validated from three aspects:linear feature restoration,geometric shape recovery,and accuracy evaluation.Results Experimental results show that the average reprojection error of calibration based on the Scaramuzza model is reduced to 0.33 pixels,representing an improvement of approximately 37.9%compared with the Fisheye model.After distortion correction,the maximum perimeter deviation and maximum angular deviation of the calibration checkerboard are 1.93 mm and 0.04°,respectively.In addition,the average positional uncertainty of connection points in the 3D model is reduced by 33.24%,indicating improved data quality.Conclusions The proposed method features non-contact measurement,full-coverage detection,and strong robustness,while achieving a balance among monitoring accuracy,efficiency,and cost.It provides a feasible approach for refined monitoring of metro tunnel segments and similar application scenarios and demonstrates practical engineering value.关键词
地铁隧道/管片监测/全景相机/畸变校正/三维模型Key words
metro tunnel/segment monitoring/panoramic camera/distortion correction/3D model分类
天文与地球科学引用本文复制引用
桑文刚,朱有志,孙俊峰,尹艺博..基于Scaramuzza畸变校正模型的全景相机地铁隧道管片提取技术[J].河南理工大学学报（自然科学版）,2026,45(4):22-29,8.基金项目
国家自然科学基金资助项目(42374049) （42374049）
山东省自然科学基金资助项目(ZR2022MD103) （ZR2022MD103）
山东省重点研发计划项目(2019GSF111052) （2019GSF111052）
