段琼琼  (助理教授)

所在单位:机械工程学院

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办公地点:西安交通大学兴庆校区逸夫科学馆259室

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学科:人工智能

   

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A high-accuracy online calibration method for structured light 3D measurement

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发布时间:2026-04-09

发布时间:2026-04-09

影响因子:5.6

DOI码:10.1016/j.measurement.2023.112488

论文名称:A high-accuracy online calibration method for structured light 3D measurement

教研室:新能源装备与质量工程研究所

发表刊物:Measurement

刊物所在地:英国

关键字:Online calibration;Matching point;Topological similarity;Fundamental matrix;Trinocular epipolar;Nonlinear optimization

摘要:Traditional offline calibration of a structured light 3D measurement system is cumbersome, ineffective, and dependent on calibration targets, whereas state-of-the-art (SoTA) online calibration methods are often haunted by low-precision matching points and thus exhibit poor accuracy and reliability. To this end, we present an automated and high-precision online calibration approach for structured light probes from a multi-camera-projector structured light system(MCPSLS). At the core of the approach, a new criterion for matching points filtration is constructed based on local point set topological similarity, which demonstrates higher accuracy and more robustness than typical RANSAC to outliers. Moreover, the fundamental matrix is optimized based on trinocular epipolar constraints, which further prevents the extrinsic parameter solution from being inaccurate and unreliable due to the small number of filtered matching points. Besides, to achieve a simultaneous and automated online calibration, the MCPSLS’s registration objects are served as spatial constraint fields to solve scale factors. Finally, all calibration parameters are nonlinearly optimized for their global optimal solutions. Experimental results show that the proposed approach outperforms SoTA online methods in robustness and accuracy and achieves comparable performance as the traditional offline calibration method.

合写作者:王昭,段琼琼,李子君,祁苗伟

第一作者:邢超

论文类型:期刊论文

通讯作者:黄军辉

论文编号:112488

学科门类:工学

一级学科:机械工程

文献类型:J

卷号:210

ISSN号:0263-2241

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发表时间:2023-02-09

收录刊物:SCI

发布期刊链接:https://www.sciencedirect.com/science/article/pii/S0263224123000520

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