光学
材料科学
波长
生物光子学
极化(电化学)
色散(光学)
RGB颜色模型
雷
振幅
相(物质)
物理
光子学
计算机科学
人工智能
化学
物理化学
量子力学
作者
Shiyu Tan,Frank Yang,Vivek Boominathan,Ashok Veeraraghavan,Gururaj V. Naik
出处
期刊:ACS Photonics
[American Chemical Society]
日期:2021-04-16
卷期号:8 (5): 1421-1429
被引量:36
标识
DOI:10.1021/acsphotonics.1c00110
摘要
Metasurfaces have the potential to revolutionize imaging technologies due to their extreme control of phase, polarization, and amplitude of the incident light. They rely upon enhanced local interaction of light to achieve the desired phase profile. As a consequence of the enhanced local interaction of light, metasurfaces are highly dispersive. This strong dispersion has been recognized as a primary limitation as it relates to realizing conventional imaging with metasurfaces. Here, we argue that this strong dispersion is an added degree of design freedom for computational imaging, potentially opening up novel applications. In particular, we exploit this strongly dispersive property of metasurfaces to propose a compact, single-shot, and passive 3D imaging camera. Our device consists of a metalens engineered to focus different wavelengths at different depths and two deep networks to recover depth and RGB texture information from chromatic, defocused images acquired by the system. In contrast with other metasurface-based 3D sensors, our design can operate in the full visible range with a larger field-of-view (FOV) and can potentially generate dense depth maps of complicated 3D scenes. Our simulation results on a 1 mm diameter metalens demonstrate its ability to capture 3D depth and texture information ranging from 0.12 to 0.6 m.
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