3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging
Transparent object detection and reconstruction are significant, due to their practical applications. The appearance and characteristics of light in these objects make reconstruction methods tailored for Lambertian surfaces fail disgracefully. In this paper, we introduce a fixed multi-viewpoint appr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/15/4211 |
| _version_ | 1797560997609734144 |
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| author | Anumol Mathai Ningqun Guo Dong Liu Xin Wang |
| author_facet | Anumol Mathai Ningqun Guo Dong Liu Xin Wang |
| author_sort | Anumol Mathai |
| collection | DOAJ |
| description | Transparent object detection and reconstruction are significant, due to their practical applications. The appearance and characteristics of light in these objects make reconstruction methods tailored for Lambertian surfaces fail disgracefully. In this paper, we introduce a fixed multi-viewpoint approach to ascertain the shape of transparent objects, thereby avoiding the rotation or movement of the object during imaging. In addition, a simple and cost-effective experimental setup is presented, which employs two single-pixel detectors and a digital micromirror device, for imaging transparent objects by projecting binary patterns. In the system setup, a dark framework is implemented around the object, to create shades at the boundaries of the object. By triangulating the light path from the object, the surface shape is recovered, neither considering the reflections nor the number of refractions. It can, therefore, handle transparent objects with a relatively complex shape with the unknown refractive index. The implementation of compressive sensing in this technique further simplifies the acquisition process, by reducing the number of measurements. The experimental results show that 2D images obtained from the single-pixel detectors are better in quality with a resolution of <inline-formula><math display="inline"><semantics><mrow><mn>32</mn><mo>×</mo><mn>32</mn></mrow></semantics></math></inline-formula>. Additionally, the obtained disparity and error map indicate the feasibility and accuracy of the proposed method. This work provides a new insight into 3D transparent object detection and reconstruction, based on single-pixel imaging at an affordable cost, with the implementation of a few numbers of detectors. |
| first_indexed | 2024-03-10T18:08:10Z |
| format | Article |
| id | doaj.art-752ad21b7c1943e18b2a396cd1027bb5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:08:10Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-752ad21b7c1943e18b2a396cd1027bb52023-11-20T08:20:09ZengMDPI AGSensors1424-82202020-07-012015421110.3390/s201542113D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel ImagingAnumol Mathai0Ningqun Guo1Dong Liu2Xin Wang3School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor 47500, MalaysiaSchool of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor 47500, MalaysiaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, 38 Zheda Road, Hangzhou 310027, ChinaSchool of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor 47500, MalaysiaTransparent object detection and reconstruction are significant, due to their practical applications. The appearance and characteristics of light in these objects make reconstruction methods tailored for Lambertian surfaces fail disgracefully. In this paper, we introduce a fixed multi-viewpoint approach to ascertain the shape of transparent objects, thereby avoiding the rotation or movement of the object during imaging. In addition, a simple and cost-effective experimental setup is presented, which employs two single-pixel detectors and a digital micromirror device, for imaging transparent objects by projecting binary patterns. In the system setup, a dark framework is implemented around the object, to create shades at the boundaries of the object. By triangulating the light path from the object, the surface shape is recovered, neither considering the reflections nor the number of refractions. It can, therefore, handle transparent objects with a relatively complex shape with the unknown refractive index. The implementation of compressive sensing in this technique further simplifies the acquisition process, by reducing the number of measurements. The experimental results show that 2D images obtained from the single-pixel detectors are better in quality with a resolution of <inline-formula><math display="inline"><semantics><mrow><mn>32</mn><mo>×</mo><mn>32</mn></mrow></semantics></math></inline-formula>. Additionally, the obtained disparity and error map indicate the feasibility and accuracy of the proposed method. This work provides a new insight into 3D transparent object detection and reconstruction, based on single-pixel imaging at an affordable cost, with the implementation of a few numbers of detectors.https://www.mdpi.com/1424-8220/20/15/4211transparent object detectionsingle-pixel imagingcompressive sensingdisparity map acquisition |
| spellingShingle | Anumol Mathai Ningqun Guo Dong Liu Xin Wang 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging Sensors transparent object detection single-pixel imaging compressive sensing disparity map acquisition |
| title | 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging |
| title_full | 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging |
| title_fullStr | 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging |
| title_full_unstemmed | 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging |
| title_short | 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging |
| title_sort | 3d transparent object detection and reconstruction based on passive mode single pixel imaging |
| topic | transparent object detection single-pixel imaging compressive sensing disparity map acquisition |
| url | https://www.mdpi.com/1424-8220/20/15/4211 |
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