• Opto-Electronic Science
  • Vol. 3, Issue 9, 230033 (2024)
Xiaoyuan Liu, Jingcheng Zhang, Borui Leng, Yin Zhou..., Jialuo Cheng, Takeshi Yamaguchi, Takuo Tanaka* and Mu Ku Chen**|Show fewer author(s)
DOI: 10.29026/oes.2024.230033 Cite this Article
Xiaoyuan Liu, Jingcheng Zhang, Borui Leng, Yin Zhou, Jialuo Cheng, Takeshi Yamaguchi, Takuo Tanaka, Mu Ku Chen. Edge enhanced depth perception with binocular meta-lens[J]. Opto-Electronic Science, 2024, 3(9): 230033 Copy Citation Text show less
References

[1] S Greenwold. Spatial computing(2003).

[2] E Pangilinan, S Lukas, V Mohan. Creating Augmented and Virtual Realities: Theory and Practice for Next-Generation Spatial Computing(2019).

[3] XY Liu, MK Chen, CH Chu et al. Underwater binocular meta-lens. ACS Photonics, 10, 2382-2389(2023).

[4] MK Chen, CH Chu, XY Liu et al. Meta-lens in the sky. IEEE Access, 10, 46552-46557(2022).

[5] D Jeon, K Shin, SW Moon et al. Recent advancements of metalenses for functional imaging. Nano Convergence, 10, 24(2023).

[6] T Li, C Chen, XJ Xiao et al. Revolutionary meta-imaging: from superlens to metalens. Photon Insights, 2, R01(2023).

[7] SW Moon, C Lee, Y Yang et al. Tutorial on metalenses for advanced flat optics: design, fabrication, and critical considerations. J Appl Phys, 131, 091101(2022).

[8] MB Pu, X Li, XL Ma et al. Catenary optics for achromatic generation of perfect optical angular momentum. Sci Adv, 1, e1500396(2015).

[9] YQ Hu, L Li, YJ Wang et al. Trichromatic and tripolarization-channel holography with noninterleaved dielectric metasurface. Nano Lett, 20, 994-1002(2020).

[10] PC Wu, R Sokhoyan, GK Shirmanesh et al. Near‐infrared active metasurface for dynamic polarization conversion. Adv Opt Mater, 9, 2100230(2021).

[11] QH Song, A Baroni, PC Wu et al. Broadband decoupling of intensity and polarization with vectorial Fourier metasurfaces. Nat. Commun, 12, 3631(2021).

[12] MW Song, L Feng, PC Huo et al. Versatile full-colour nanopainting enabled by a pixelated plasmonic metasurface. Nat Nanotechnol, 18, 71-78(2023).

[13] X Li, QM Chen, X Zhang et al. Time-sequential color code division multiplexing holographic display with metasurface. Opto-Electron Adv, 6, 220060(2023).

[14] YH Guo, MB Pu, F Zhang et al. Classical and generalized geometric phase in electromagnetic metasurfaces. Photon Insights, 1, R03(2022).

[15] SM Wang, PC Wu, VC Su et al. A broadband achromatic metalens in the visible. Nat Nanotechnol, 13, 227-232(2018).

[16] F Zhang, MB Pu, X Li et al. Extreme-angle silicon infrared optics enabled by streamlined surfaces. Adv Mater, 33, 2008157(2021).

[17] QB Fan, WZ Xu, XM Hu et al. Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field. Nat Commun, 13, 2130(2022).

[18] MK Chen, XY Liu, YN Sun et al. Artificial Intelligence in Meta-optics. Chem Rev, 122, 15356-15413(2022).

[19] S Krasikov, A Tranter, A Bogdanov et al. Intelligent metaphotonics empowered by machine learning. Opto-Electron Adv, 5, 210147(2022).

[20] MK Chen, XY Liu, YF Wu et al. A meta-device for intelligent depth perception. Adv Mater, 35, 2107465(2023).

[21] ZS Li, JS Sun, Y Fan et al. Deep learning assisted variational Hilbert quantitative phase imaging. Opto-Electron Sci, 2, 220023(2023).

[22] C Liu, Q Ma, ZJ Luo et al. A programmable diffractive deep neural network based on a digital-coding metasurface array. Nat Electron, 5, 113-122(2022).

[23] XX Gao, Q Ma, Z Gu et al. Programmable surface plasmonic neural networks for microwave detection and processing. Nat Electron, 6, 319-328(2023).

[24] LL Li, HX Ruan, C Liu et al. Machine-learning reprogrammable metasurface imager. Nat Commun, 10, 1082(2019).

[25] LL Li, HT Zhao, C Liu et al. Intelligent metasurfaces: control, communication and computing. eLight, 2, 7(2022).

[26] R Blake, H Wilson. Binocular vision. Vision Res, 51, 754-770(2011).

[27] H Hirschmuller. Accurate and efficient stereo processing by semi-global matching and mutual information, 807-814(2005).

[28] HQ Zhou, YT Wang, X Li et al. A deep learning approach for trustworthy high-fidelity computational holographic orbital angular momentum communication. Appl Phys Lett, 119, 044104(2021).

[29] C He, D Zhao, F Fan et al. Pluggable multitask diffractive neural networks based on cascaded metasurfaces. Opto-Electron Adv, 7, 230005(2024).

[30] MH Liao, SS Zheng, SX Pan et al. Deep-learning-based ciphertext-only attack on optical double random phase encryption. Opto-Electron Adv, 4, 200016(2021).

[31] JY Hao, X Lin, YK Lin et al. Lensless complex amplitude demodulation based on deep learning in holographic data storage. Opto-Electron Adv, 6, 220157(2023).

[32] TG Ma, M Tobah, HZ Wang et al. Benchmarking deep learning-based models on nanophotonic inverse design problems. Opto-Electron Sci, 1, 210012(2022).

[33] CH Lin, SH Huang, TH Lin et al. Metasurface-empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory. Nat Commun, 14, 6979(2023).

[34] JR Chang, YS Chen. Pyramid stereo matching network, 5410-5418(2018).

[35] Y Zhou, HY Zheng, II Kravchenko et al. Flat optics for image differentiation. Nat Photonics, 14, 316-323(2020).

[36] C Guo, M Xiao, M Minkov et al. Photonic crystal slab Laplace operator for image differentiation. Optica, 5, 251-256(2018).

[37] Y Kim, GY Lee, J Sung et al. Spiral metalens for phase contrast imaging. Adv Funct Mater, 32, 2106050(2022).

[38] MK Chen, Y Yan, XY Liu et al. Edge detection with meta-lens: from one dimension to three dimensions. Nanophotonics, 10, 3709-3715(2021).

[39] T Badloe, Y Kim, J Kim et al. Bright-field and edge-enhanced imaging using an electrically tunable dual-mode metalens. ACS Nano, 17, 14678-14685(2023).

[40] PC Huo, C Zhang, WQ Zhu et al. Photonic spin-multiplexing metasurface for switchable spiral phase contrast imaging. Nano Lett, 20, 2791-2798(2020).

[41] JX Zhou, HL Qian, CF Chen et al. Optical edge detection based on high-efficiency dielectric metasurface. Proc Natl Acad Sci USA, 116, 11137-11140(2019).

[42] JX Zhou, SK Liu, HL Qian et al. Metasurface enabled quantum edge detection. Sci Adv, 6, eabc4385(2020).

[43] MS Hamid, NA Manap, RA Hamzah et al. Stereo matching algorithm based on deep learning: A survey. J King Saud Univ - Comput Inf Sci, 34, 1663-1673(2022).

[44] HF Xu, J Zhang, JF Cai et al. Unifying flow, stereo and depth estimation. IEEE Trans Pattern Anal Mach Intell, 45, 13941-13958(2023).

[45] Y Taigman, M Yang, MA Ranzato et al. Deepface: Closing the gap to human-level performance in face verification, 1701-1708(2014).

[46] KM He, XY Zhang, SQ Ren et al. Deep residual learning for image recognition, 770-778(2016).

[47] WY Li, XY Liu, YX Yuan. SIGMA: Semantic-complete graph matching for domain adaptive object detection, 5281-5290(2022).

[48] WY Li, XY Liu, YX Yuan. SIGMA++: Improved semantic-complete graph matching for domain adaptive object detection. IEEE Trans Pattern Anal Mach Intell, 45, 9022-9040(2023).

[49] A Vaswani, N Shazeer, N Parmar et al. Attention is all you need, 6000-6010(2017).

[50] A Kendall, H Martirosyan, S Dasgupta et al. End-to-end learning of geometry and context for deep stereo regression, 66-75(2017).

[51] A Geiger, P Lenz, R Urtasun. Are we ready for autonomous driving? The KITTI vision benchmark suite, 3354-3361(2012).

[52] J Canny. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell PAMI-8, 679-698(1986).

[53] MX Zhao, MK Chen, ZP Zhuang et al. Phase characterisation of metalenses. Light Sci Appl, 10, 52(2021).

Xiaoyuan Liu, Jingcheng Zhang, Borui Leng, Yin Zhou, Jialuo Cheng, Takeshi Yamaguchi, Takuo Tanaka, Mu Ku Chen. Edge enhanced depth perception with binocular meta-lens[J]. Opto-Electronic Science, 2024, 3(9): 230033
Download Citation