Acta Optica Sinica, Volume. 39, Issue 7, 0711002(2019)

Non-Line-of-Sight Imaging Through Deep Learning

Tingyi Yu1,2, Mu Qiao1,2, Honglin Liu1、*, and Shensheng Han1
Author Affiliations
  • 1 Key Laboratory for Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2 Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    References(25)

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    [5] Heide F, Xiao L, Heidrich W et al. Diffuse mirrors: 3D reconstruction from diffuse indirect illumination using inexpensive time-of-flight sensors. [C]//2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 3222-3229(2014).

    [23] Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[M]. //Navab N, Hornegger J, Wells W, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science. Cham: Springer, 9351, 234-241(2015).

    [24] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

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    Tingyi Yu, Mu Qiao, Honglin Liu, Shensheng Han. Non-Line-of-Sight Imaging Through Deep Learning[J]. Acta Optica Sinica, 2019, 39(7): 0711002

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 29, 2019

    Accepted: Mar. 22, 2019

    Published Online: Jul. 16, 2019

    The Author Email: Liu Honglin (hlliu4@hotmail.com)

    DOI:10.3788/AOS201939.0711002

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