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作 者:Junkyeong Park Gyeongtae Kim Junsuk Rho
机构地区:[1]Department of Mechanical Engineering,Pohang University of Science and Technology(POSTECH),Pohang 37673,Republic of Korea [2]Department of Chemical Engineering,Pohang University of Science and Technology(POSTECH),Pohang 37673,Republic of Korea [3]Department of Electrical Engineering,Pohang University of Science and Technology(POSTECH),Pohang 37673,Republic of Korea [4]POSCO-POSTECH-RIST Convergence Research Center for Flat Optics and Metaphotonics,Pohang 37673,Republic of Korea
出 处:《Opto-Electronic Advances》2025年第1期1-3,共3页光电进展(英文)
基 金:financially supported by the POSCO-POSTECH-RIST Convergence Research Center program funded by POSCO;the National Research Foundation (NRF) grants (RS-2024-00462912, RS-2024-00416272, RS-2024-00337012, RS-2024-00408446) funded by the Ministry of Science and ICT (MSIT) of the Korean government;the Korea Evaluation Institute of Industrial Technology (KEIT) grant (No. 1415185027/20019169, Alchemist project) funded by the Ministry of Trade, Industry and Energy (MOTIE) of the Korean government;the Soseon Science fellowship funded by Community Chest of Korea;the NRF PhD fellowship (RS-2023-00275565) funded by the Ministry of Education (MOE) of the Korean government。
摘 要: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,realtime depth mapping even in complex environments,enhancing potential applications in augmented reality,robotics,and autonomous systems.
关 键 词:metasurface metalens deep learning depth perception edge detection
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