High-precision visual localization based on an improved shape-based matching algorithm

被引：2
|
作者：
Hu, Shanshan [1 ]
Li, Dan [1 ]
Hong, Mingfeng [1 ]
Wang, Bing [1 ,2 ]
Xu, Xiangrong [3 ]
机构：
[1] Anhui Univ Technol, Sch Elect Informat & Engn, Maanshan 243032, Anhui, Peoples R China
[2] Anhui Univ, Coinnovat Ctr Informat Supply & Assurance Technol, Hefei 230601, Anhui, Peoples R China
[3] Anhui Univ Technol, Sch Mech Engn, Maanshan 243032, Anhui, Peoples R China
来源：
APPLIED OPTICS | 2021年 / 60卷 / 05期
关键词：
D O I：
10.1364/AO.409303
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
To deal with the requirement of high-precision localization of large-size workpieces in an industrial environment, an improved shape-based matching algorithm is proposed based on the phase stretching transformation and the iterative closest point algorithms. Basler industrial cameras are used to collect images of large-size workpieces, such as glass. The experimental results show that the average localization error is 0.05 +/- 0.013 mm, which can meet the requirements of practical applications. This algorithm can effectively and accurately achieve high-precision localization of different positions of multi-directionally transformed objects in industrial environments. (C) 2021 Optical Society of America
引用
收藏
页码：1294 / 1303
页数：10
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