A physics-informed deep learning liquid crystal camera with data-driven diffractive guidance
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 propose an opt...
Main Authors: | Shi, Jiashuo, Liu, Taige, Zhou, Liang, Yan, Pei, Wang, Zhe, Zhang, Xinyu |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181316 |
Similar Items
-
Key developments in ionic liquid crystals
by: Alvarez Fernandez, Alexandra, et al.
Published: (2018) -
Structural Study of the Apatite Nd
8
Sr
2
Si
6
O
26
by Laue Neutron Diffraction and Single-Crystal Raman Spectroscopy
by: An, Tao, et al.
Published: (2016) -
A combined single crystal neutron/X-ray diffraction and solid-state nuclear magnetic resonance study of the hybrid perovskites CH3NH3PbX3 (X = I, Br and Cl)
by: Baikie, Tom, et al.
Published: (2017) -
Efficient visible light modulation based on electrically tunable all dielectric metasurfaces embedded in thin-layer nematic liquid crystals
by: Sun, Mingyu, et al.
Published: (2019) -
Particle free optical imaging of flow field by liquid crystal polarization
by: Huang, Yi, et al.
Published: (2019)