A physics-informed deep learning liquid crystal camera with data-driven diffractive guidance
Abstract Whether in the realms of computer vision, robotics, or environmental monitoring, the ability to monitor and follow specific targets amidst intricate surroundings is essential for numerous applications. However, achieving rapid and efficient target tracking remains a challenge. Here we propo...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | Communications Engineering |
Online Access: | https://doi.org/10.1038/s44172-024-00191-7 |