1.School of Electronic Information, Wuhan University, Wuhan, 430072, China
2.NOEIC, State Key Laboratory of Optical Communication Technologies and Networks, Wuhan Research Institute of Posts and Telecommunications, Wuhan, 430074, China
3.Department of Electrical Engineering, Information Technology University of the Punjab, Ferozpur Road, 54000, Lahore, Pakistan
4.Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
5.Advanced Science Research Center, City University of New York, New York, 10031, USA
6.Data Storage Institute, A*STAR (Agency for Science, Technology and Research), 2 Fusionopolis Way, #08-01, Innovis, 138634, Singapore
7.Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
8.Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
9.National Institute of Nanomaterials Technology (NINT), Pohang, 37673, Republic of Korea
Guoxing Zheng (gxzheng@whu.edu.cn)
Shaohua Yu (shuyu@wri.com.cn)
Junsuk Rho (jsrho@postech.ac.kr)
Cheng-Wei Qiu (chengwei.qiu@nus.edu.sg)
Scan for full text
Zile Li, Qi Dai, Muhammad Q. Mehmood, 等. Full-space Cloud of Random Points with a Scrambling Metasurface[J]. 光:科学与应用, 2018,7(5):596-603.
Li, Z. L. et al. Full-space Cloud of Random Points with a Scrambling Metasurface. Light: Science & Applications, 5, 596-603 (2018).
Zile Li, Qi Dai, Muhammad Q. Mehmood, 等. Full-space Cloud of Random Points with a Scrambling Metasurface[J]. 光:科学与应用, 2018,7(5):596-603. DOI: 10.1038/s41377-018-0064-3.
Li, Z. L. et al. Full-space Cloud of Random Points with a Scrambling Metasurface. Light: Science & Applications, 5, 596-603 (2018). DOI: 10.1038/s41377-018-0064-3.
With the rapid progress in computer science, including artificial intelligence, big data and cloud computing, full-space spot generation can be pivotal to many practical applications, such as facial recognition, motion detection, augmented reality, etc. These opportunities may be achieved by using diffractive optical elements (DOEs) or light detection and ranging (LIDAR). However, DOEs suffer from intrinsic limitations, such as demanding depth-controlled fabrication techniques, large thicknesses (more than the wavelength), Lambertian operation only in half space, etc. LIDAR nevertheless relies on complex and bulky scanning systems, which hinders the miniaturization of the spot generator. Here, inspired by a Lambertian scatterer, we report a Hermitian-conjugate metasurface scrambling the incident light to a cloud of random points in full space with compressed information density, functioning in both transmission and reflection spaces. Over 4044 random spots are experimentally observed in the entire space, covering angles at nearly 90°. Our scrambling metasurface is made of amorphous silicon with a uniform subwavelength height, a nearly continuous phase coverage, a lightweight, flexible design, and low-heat dissipation. Thus, it may be mass produced by and integrated into existing semiconductor foundry designs. Our work opens important directions for emerging 3D recognition sensors, such as motion sensing, facial recognition, and other applications.
Khoshelham, K. & Elberink, S. O. Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors 12, 1437–1454 (2012).
Kuroiwa, Y., Takeshima, N., Narita, Y., Tanaka, S. & Hirao, K. Arbitrary micropatterning method in femtosecond laser microprocessing using diffractive optical elements. Opt. Express 12, 1908–1915 (2004).
Veetil, S. P., Schimmel, H. & Wyrowski, F. Simulation of multibeam imaging in three-dimensional space and time with a diffractive optical element illuminated with a femtosecond pulse. J. Opt. Soc. Am. B 24, 2580–2583 (2007).
Li, W. K., Guo, Q. H., Jakubowski, M. K. & Kelly, M. A new method for segmenting individual trees from the lidar point cloud. Photogramm. Eng. Remote Sens. 78, 75–84 (2012).
Wang, Y. S., Weinacker, H. & Koch, B. A lidar point cloud based procedure for vertical canopy structure analysis and 3D single tree modelling in forest. Sensors 8, 3938–3951 (2008).
Campbell, P. & Green, M. A. Light trapping properties of pyramidally textured surfaces. J. Appl. Phys. 62, 243–249 (1987).
Chen, X. Z. et al. Dual-polarity plasmonic metalens for visible light. Nat. Commun. 3, 1198 (2012).
Lin, D. M., Fan, P. Y., Hasman, E. & Brongersma, M. L. Dielectric gradient metasurface optical elements. Science 345, 298–302 (2014).
Khorasaninejad, M., Chen, W. T., Oh, J. & Capasso, F. Super-dispersive off-axis meta-lenses for compact high resolution spectroscopy. Nano Lett. 16, 3732–3737 (2016).
Khorasaninejad, M. et al. Metalenses at visible wavelengths: diffraction-limited focusing and subwavelength resolution imaging. Science 352, 1190–1194 (2016).
Zheng, G. X. et al. Dual field-of-view step-zoom metalens. Opt. Lett. 42, 1261–1264 (2017).
Ke, Y. G. et al. Realization of spin-dependent splitting with arbitrary intensity patterns based on all-dielectric metasurfaces.Appl. Phys. Lett. 107, 041107 (2015).
Ye, W. M. et al. Spin and wavelength multiplexed nonlinear metasurface holography. Nat. Commun. 7, 11930 (2016).
Li, X. et al. Multicolor 3D meta-holography by broadband plasmonic modulation. Sci. Adv. 2, e1601102 (2016).
Wan, W. W., Gao, J. & Yang, X. D. Full-color plasmonic metasurface holograms. ACS Nano 10, 10671–10680 (2016).
Zhao, W. Y. et al. Full-color hologram using spatial multiplexing of dielectric metasurface. Opt. Lett. 41, 147–150 (2016).
Wen, D. D. et al. Helicity multiplexed broadband metasurface holograms. Nat. Commun. 6, 8241 (2015).
Huang, L. L. et al. Three-dimensional optical holography using a plasmonic metasurface. Nat. Commun. 4, 2808 (2013).
Huang, K. et al. Silicon multi-meta-holograms for the broadband visible light. Laser Photonics Rev. 10, 500–509 (2016).
Zheng, G. X. et al. Metasurface holograms reaching 80% efficiency. Nat. Nanotechnol. 10, 308–312 (2015).
Li, Z. L. et al. Dielectric meta-holograms enabled with dual magnetic resonances in visible light. ACS Nano 11, 9382–9389 (2017).
Yue, F. Y. et al. Geometric phase generated optical illusion. Sci. Rep. 7, 11440 (2017).
Wang, Y. Q. et al. Quasi-continuous metasurface for ultra-broadband and polarization-controlled electromagnetic beam deflection.Sci. Rep. 5, 17733 (2015).
Khorasaninejad, M. & Crozier, K. B. Silicon nanofin grating as a miniature chirality-distinguishing beam-splitter. Nat. Commun. 5, 5386 (2014).
Xu, H. X. et al. Deterministic approach to achieve broadband polarization-independent diffusive scatterings based on metasurfaces. ACS Photonics 5, 1691–1702 (2018).
Xu, H. X., Wang, G. M., Cai, T., Xiao, J. & Zhuang, Y. Q. Tunable Pancharatnam-Berry metasurface for dynamical and high-efficiency anomalous reflection. Opt. Express 24, 27836–27848 (2016).
Xu, H. X., Liu, H. W., Ling, X. H., Sun, Y. M. & Yuan, F. Broadband vortex beam generation using multimode Pancharatnam-Berry metasurface. IEEE Trans. Antennas Propag. 65, 7378–7382 (2017).
Li, Z. L. et al. All-silicon nanorod-based Dammann gratings. Opt. Lett. 40, 4285–4288 (2015).
Yang, S. et al. Simple and polarization-independent Dammann grating based on all-dielectric nanorod array. J. Opt. 19, 095103 (2017).
Song, X. et al. Selective diffraction with complex amplitude modulation by dielectric metasurfaces. Adv. Opt. Mater. 6, 1701181 (2018).
Sell, D., Yang, J. J., Doshay, S., Zhang, K. & Fan, J. A. Visible light metasurfaces based on single-crystal silicon. ACS Photonics 3, 1919–1925 (2016).
Devlin, R. C., Khorasaninejad, M., Chen, W. T., Oh, J., & Capasso, F. Broadband high-efficiency dielectric metasurfaces for the visible spectrum. Proc. Natl Acad. Sci. USA 113, 10473–10478 (2016).
0
浏览量
0
Downloads
2
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621