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Park J, Kim G, Rho J. Advancing depth perception in spatial computing with binocular metalenses. Opto-Electron Adv 8, 240267 (2025). doi: 10.29026/oea.2025.240267
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Advancing depth perception in spatial computing with binocular metalenses
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Abstract
Spatial computing and augmented reality are advancing rapidly, with the goal of seamlessly blending virtual and physical worlds. However, traditional depth-sensing systems are bulky and energy-intensive, limiting their use in wearable devices. To overcome this, recent research by X. Liu et al. presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network. This system enables accurate, real-time depth mapping even in complex environments, enhancing potential applications in augmented reality, robotics, and autonomous systems.-
Keywords:
- metasurface /
- metalens /
- deep learning /
- depth perception /
- edge detection
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References
[1] Yenduri G, Ramalinga M, Maddikunta KR et al. Spatial computing: concept, applications, challenges and future directions. arXiv preprint arXiv: 2402.07912, 2024. https://doi.org/10.48550/arXiv.2402.07912 [2] Keselman L, Woodfill JI, Grunnet-Jepsen A et al. Intel(R) realsense(TM) stereoscopic depth cameras. In Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops 1–10 (IEEE, 2017); http://doi.org/10.1109/CVPRW.2017.167. [3] Geng J. Structured-light 3D surface imaging: a tutorial. Adv Opt Photonics 3, 128–160 (2011). doi: 10.1364/AOP.3.000128 [4] Martins RJ, Marinov E, Youssef MAB et al. Metasurface-enhanced light detection and ranging technology. Nat Commun 13, 5724 (2022). doi: 10.1038/s41467-022-33450-2 [5] Yang Y, Seong J, Choi M et al. Integrated metasurfaces for re-envisioning a near-future disruptive optical platform. Light Sci Appl 12, 152 (2023). doi: 10.1038/s41377-023-01169-4 [6] Yu N, Genevet P, Kats MA et al. Light propagation with phase discontinuities: generalized laws of reflection and refraction. Science 334, 333–337 (2011). doi: 10.1126/science.1210713 [7] Moon SW, Lee C, Yang Y et al. Tutorial on metalenses for advanced flat optics: design, fabrication, and critical considerations. J Appl Phys 131, 091101 (2022). doi: 10.1063/5.0078804 [8] Jeon D, Shin K, Moon SW et al. Recent advancements of metalenses for functional imaging. Nano Converg 10, 24 (2023). doi: 10.1186/s40580-023-00372-8 [9] Shen ZC, Zhao F, Jin CQ et al. Monocular metasurface camera for passive single-shot 4D imaging. Nat Commun 14, 1035 (2023). doi: 10.1038/s41467-023-36812-6 [10] Choi E, Kim G, Yun J et al. 360° structured light with learned metasurfaces. Nat Photon 18, 848–855 (2024). doi: 10.1038/s41566-024-01450-x [11] Kim G, Kim Y, Yun J et al. Metasurface-driven full-space structured light for three-dimensional imaging. Nat Commun 13, 5920 (2022). doi: 10.1038/s41467-022-32117-2 [12] Liu XY, Zhang JC, Leng BR et al. Edge enhanced depth perception with binocular meta-lens. Opto-Electron Sci 3, 230033 (2024). doi: 10.29026/oes.2024.230033 -
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Park J, Kim G, Rho J. Advancing depth perception in spatial computing with binocular metalenses. Opto-Electron Adv 8, 240267 (2025). doi: 10.29026/oea.2025.240267
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Figure 1.
Schematic of the edge-enhanced spatial computing with binocular metalens.
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Figure 2.
Edge-enhanced depth perception of various objects. The first image displays the original left view, while the second image shows the corresponding depth map. The third image presents the edge-enhanced depth map, using a shared color scale shown to the right of the third image. The fourth image is the integration of the raw image with the edge-enhanced depth map to provide a combined view.
