Neural network based 3D tracking with a graphene transparent focal stack imaging system

Neural network based 3D tracking with a graphene transparent focal stack imaging system

Transparent photodetectors based on graphene stacked vertically along the optical axis have shown promising potential for light field reconstruction. Here, the authors develop transparent photodetector arrays and implement a neural network for real-time 3D optical imaging and object tracking.

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Bibliographic Details
Main Authors: Dehui Zhang, Zhen Xu, Zhengyu Huang, Audrey Rose Gutierrez, Cameron J. Blocker, Che-Hung Liu, Miao-Bin Lien, Gong Cheng, Zhe Liu, Il Yong Chun, Jeffrey A. Fessler, Zhaohui Zhong, Theodore B. Norris
Format: article
Language:EN
Published: Nature Portfolio 2021
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Science
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Online Access:https://doaj.org/article/5f72d919c06242deb5c169a7bf037810
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Summary:Transparent photodetectors based on graphene stacked vertically along the optical axis have shown promising potential for light field reconstruction. Here, the authors develop transparent photodetector arrays and implement a neural network for real-time 3D optical imaging and object tracking.

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