A Meta-Device for Intelligent Depth Perception.

Chen, Mu Ku; Liu, Xiaoyuan; Wu, Yongfeng; Zhang, Jingcheng; Yuan, Jiaqi; Zhang, Zhengnan; Tsai, Din Ping

Chen, Mu Ku; Liu, Xiaoyuan; Wu, Yongfeng; Zhang, Jingcheng; Yuan, Jiaqi; Zhang, Zhengnan; Tsai, Din Ping.

Afiliação

Chen MK; Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077, P. R. China.
Liu X; Centre for Biosystems, Neuroscience and Nanotechnology, City University of Hong Kong, Kowloon, Hong Kong, 999077, P. R. China.
Wu Y; The State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Kowloon, Hong Kong, 999077, P. R. China.
Zhang J; Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077, P. R. China.
Yuan J; Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077, P. R. China.
Zhang Z; Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077, P. R. China.
Tsai DP; Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077, P. R. China.

Adv Mater ; 35(34): e2107465, 2023 Aug.

Article em En | MEDLINE | ID: mdl-35986633

Palavras-chave

deep learning; depth perception; light field imaging; meta-lens; neural networks; structured light

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Adv Mater Assunto da revista: BIOFISICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de publicação: Alemanha

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