Journal
NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41467-022-32117-2
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Funding
- Samsung Research Funding & Incubation Center for Future Technology grant - Samsung Electronics [SRFC-IT1901-52]
- POSCO-POSTECH-RIST Convergence Research Center program - POSCO
- National Research Foundation (NRF) - Ministry of Science and ICT (MSIT) of the Korean government [NRF-2022M3C1A3081312]
- POSTECH Alchemist fellowship
- Hyundai Motor Chung Mong-Koo fellowship
- NRF - Ministry of Education of the Korean government [NRF-2022R1A6A3A13066251]
- NRF International Research & Development fellowships - MSIT of the Korean government [NRF-2022K1A3A1A12080445, NRF-2022K1A3A1A12080092]
- NRF Sejong Science fellowship - MSIT of the Korean government [NRF-2021R1C1C2004291]
- National Research Foundation of Korea [2022K1A3A1A12080445, 2022K1A3A1A12080092] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This study proposes a metasurface-enhanced structured light depth-sensing platform that can scatter high-density dot arrays over a 180-degree field-of-view. It has potential applications in face recognition and automotive robot vision.
Structured light (SL)-based depth-sensing technology illuminates the objects with an array of dots, and backscattered light is monitored to extract three-dimensional information. Conventionally, diffractive optical elements have been used to form laser dot array, however, the field-of-view (FOV) and diffraction efficiency are limited due to their micron-scale pixel size. Here, we propose a metasurface-enhanced SL-based depth-sensing platform that scatters high-density similar to 10 K dot array over the 180 degrees FOV by manipulating light at subwavelength-scale. As a proof-of-concept, we place face masks one on the beam axis and the other 50 degrees apart from axis within distance of 1 m and estimate the depth information using a stereo matching algorithm. Furthermore, we demonstrate the replication of the metasurface using the nanoparticle-embedded-resin (nano-PER) imprinting method which enables high-throughput manufacturing of the metasurfaces on any arbitrary substrates. Such a full-space diffractive metasurface may afford ultra-compact depth perception platform for face recognition and automotive robot vision applications.
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