Large-scale-adaptive fringe projection 3D measurement

被引:2
作者
Zhang, Xiaojie [1 ,2 ,3 ]
Miao, Yupei [1 ,2 ,3 ]
Tang, Qijian [1 ,2 ,3 ]
Cai, Zewei [1 ,2 ,3 ]
Chen, Zhipeng [4 ]
Liang, Anbang [4 ]
Yin, Yu [4 ]
Peng, Xiang [1 ,2 ,3 ]
Liu, Xiaoli [1 ,2 ,3 ]
机构
[1] Shenzhen Univ, Key Lab Optoelect Devices & Syst, Minist Educ, Shenzhen 518060, Guangdong, Peoples R China
[2] Shenzhen Univ, Guangdong Prov Coll Phys & Optoelect Engn, Shenzhen 518060, Guangdong, Peoples R China
[3] Shenzhen Univ, Key Lab Intelligent Opt Measurement & Detect, Shenzhen 518060, Guangdong, Peoples R China
[4] Guangdong Key Lab Urban Informat, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
LIGHT; MODEL;
D O I
10.1364/OL.532887
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Fringe projection profilometry (FPP) faces significant challenges regarding calibration difficulty and stitching error accumulation when operating across scenes ranging from tens to hundreds of meters. This Letter presents a calibration-free 3D measurement method by integrating a binocular vision of a FPP scanner with a wide field-of-view (FoV) vision that constructs global benchmarks to unify local 3D scanning and global 3D stitching, which is adaptable to arbitrarily large-scale scenes. A posterior global optimization model is then established to determine the reconstruction parameters and stitching poses simultaneously at each scanning node with adaptively distributed benchmarks. Consequently, the integrated vision measurement system not only eliminates the large-scale pre-calibration and stitching error accumulation but also overcomes system structural instability during moving measurement. With the proposed method, we achieved 3D measurements with an accuracy of 0.25 mm and a density of 0.5 mm for over 50-m-long scenes. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.
引用
收藏
页码:4485 / 4488
页数:4
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