All-optical object identification and three-dimensional reconstruction based on optical computing metasurface
Object identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision, virtual reality, augmented reality, and biomedical engineering. Optical computing metasurface, as a two-dimensional artificial design component, has displayed the superno...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Institue of Optics and Electronics, Chinese Academy of Sciences
2023-12-01
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| Series: | Opto-Electronic Advances |
| Subjects: | |
| Online Access: | https://www.oejournal.org/article/doi/10.29026/oea.2023.230120 |
| _version_ | 1797303243960745984 |
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| author | Dingyu Xu Wenhao Xu Qiang Yang Wenshuai Zhang Shuangchun Wen Hailu Luo |
| author_facet | Dingyu Xu Wenhao Xu Qiang Yang Wenshuai Zhang Shuangchun Wen Hailu Luo |
| author_sort | Dingyu Xu |
| collection | DOAJ |
| description | Object identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision, virtual reality, augmented reality, and biomedical engineering. Optical computing metasurface, as a two-dimensional artificial design component, has displayed the supernormal character of controlling phase, amplitude, polarization, and frequency distributions of the light beam, capable of performing mathematical operations on the input light field. Here, we propose and demonstrate an all-optical object identification technique based on optical computing metasurface, and apply it to 3D reconstruction. Unlike traditional mechanisms, this scheme reduces memory consumption in the processing of the contour surface extraction. The identification and reconstruction of experimental results from high-contrast and low-contrast objects agree well with the real objects. The exploration of the all-optical object identification and 3D reconstruction techniques provides potential applications of high efficiencies, low consumption, and compact systems. |
| first_indexed | 2024-03-07T23:50:05Z |
| format | Article |
| id | doaj.art-69432bcfff3a44a4b9b656c070aac4ae |
| institution | Directory Open Access Journal |
| issn | 2096-4579 |
| language | English |
| last_indexed | 2024-03-07T23:50:05Z |
| publishDate | 2023-12-01 |
| publisher | Institue of Optics and Electronics, Chinese Academy of Sciences |
| record_format | Article |
| series | Opto-Electronic Advances |
| spelling | doaj.art-69432bcfff3a44a4b9b656c070aac4ae2024-02-19T08:28:38ZengInstitue of Optics and Electronics, Chinese Academy of SciencesOpto-Electronic Advances2096-45792023-12-0161211010.29026/oea.2023.230120oea-2023-0120LuohailuAll-optical object identification and three-dimensional reconstruction based on optical computing metasurfaceDingyu Xu0Wenhao Xu1Qiang Yang2Wenshuai Zhang3Shuangchun Wen4Hailu Luo5Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, ChinaSchool of Physics and Chemistry, Hunan First Normal University, Changsha 410205, ChinaLaboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, ChinaLaboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, ChinaLaboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, ChinaLaboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, ChinaObject identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision, virtual reality, augmented reality, and biomedical engineering. Optical computing metasurface, as a two-dimensional artificial design component, has displayed the supernormal character of controlling phase, amplitude, polarization, and frequency distributions of the light beam, capable of performing mathematical operations on the input light field. Here, we propose and demonstrate an all-optical object identification technique based on optical computing metasurface, and apply it to 3D reconstruction. Unlike traditional mechanisms, this scheme reduces memory consumption in the processing of the contour surface extraction. The identification and reconstruction of experimental results from high-contrast and low-contrast objects agree well with the real objects. The exploration of the all-optical object identification and 3D reconstruction techniques provides potential applications of high efficiencies, low consumption, and compact systems.https://www.oejournal.org/article/doi/10.29026/oea.2023.230120object identificationthree-dimensional reconstructionoptical computing metasurface |
| spellingShingle | Dingyu Xu Wenhao Xu Qiang Yang Wenshuai Zhang Shuangchun Wen Hailu Luo All-optical object identification and three-dimensional reconstruction based on optical computing metasurface Opto-Electronic Advances object identification three-dimensional reconstruction optical computing metasurface |
| title | All-optical object identification and three-dimensional reconstruction based on optical computing metasurface |
| title_full | All-optical object identification and three-dimensional reconstruction based on optical computing metasurface |
| title_fullStr | All-optical object identification and three-dimensional reconstruction based on optical computing metasurface |
| title_full_unstemmed | All-optical object identification and three-dimensional reconstruction based on optical computing metasurface |
| title_short | All-optical object identification and three-dimensional reconstruction based on optical computing metasurface |
| title_sort | all optical object identification and three dimensional reconstruction based on optical computing metasurface |
| topic | object identification three-dimensional reconstruction optical computing metasurface |
| url | https://www.oejournal.org/article/doi/10.29026/oea.2023.230120 |
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