An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface
文献类型：期刊论文
| 作者 | Wu, Ke1,2 ; Tan, Jie2; Xia, Hai Lun1,2; Liu, Cheng Bao2
|
| 刊名 | IEEE SENSORS JOURNAL
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 21期号:5页码:6314-6324 |
| ISSN号 | 1530-437X |
| 关键词 | Surface reconstruction Three-dimensional displays Image reconstruction Stereo vision Reflective binary codes Cameras Sensors Structured light stereo vision 3D reconstruction image fusion |
| DOI | 10.1109/JSEN.2020.3027317 |
| 通讯作者 | Tan, Jie(tan.jie@tom.com) ; Liu, Cheng Bao(liuchengbao2016@ia.ac.cn) |
| 英文摘要 | Reflection happening on a specular surface severely degrades the performance of structured light-based 3D measurements. Traditional structured light techniques remain limited to ideal scenes. Inspired by the multiple exposure fusion technique in photography, which fuses a number of exposure sequences into a well-exposed image, we propose an exposure fusion (EF)-based structured light method in this work. With well-exposed images, the brightness difference of the specular surface can be reduced. Binary gray code is adopted as the primary structured light pattern. With the help of the EF technique, the generated well-exposed structured light images are used for 3D reconstruction of the specular surface. To evaluate the performance of our method, the defective batteries with reflective properties are tested in this experiment. The high dynamic range (HDR)-based structured light method, auto-HDR and ABFDP methods are introduced for comparison. In these experiments, an average error of 0.088 mm and a standard deviation of 0.1921 mm are obtained. These results show that the EF method performs better than other methods for the reconstruction of specular surfaces and can be used to distinguish defects on the surface of a battery. |
| 资助项目 | National Natural Science Foundation of China[U1801263] ; National Natural Science Foundation of China[U1701262] ; Intelligent Manufacturing Comprehensive Standardization and New Model Application Project of the Ministry of Industry and Information Technology of the People's Republic of China |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000616329300081 |
| 资助机构 | National Natural Science Foundation of China ; Intelligent Manufacturing Comprehensive Standardization and New Model Application Project of the Ministry of Industry and Information Technology of the People's Republic of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/43240]  |
| 专题 | 综合信息系统研究中心_工业智能技术与系统 |
| 通讯作者 | Tan, Jie; Liu, Cheng Bao |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Ke,Tan, Jie,Xia, Hai Lun,et al. An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface[J]. IEEE SENSORS JOURNAL,2021,21(5):6314-6324. |
| APA | Wu, Ke,Tan, Jie,Xia, Hai Lun,&Liu, Cheng Bao.(2021).An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface.IEEE SENSORS JOURNAL,21(5),6314-6324. |
| MLA | Wu, Ke,et al."An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface".IEEE SENSORS JOURNAL 21.5(2021):6314-6324. |
入库方式： OAI收割
来源：自动化研究所
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