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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    Figures & Tables(8)
    Incoherent light propagation
    Experiment structure of non-line-of-sight imaging
    Structural diagram of URNet network
    Structures of bottleneck layer. (a) Classical structure of bottleneck layer. (b) improved structure of bottleneck layer
    Retrieving results of different bottleneck layer models. (a) Ground truths; (b) speckle images; (c) retrieving results of classical bottleneck layer model; (d) retrieving results of improved bottleneck layer model; (i)-(iv) represent different handwriting characters 3,4,5, and 8, respectively
    Retrieving results of handwriting English letters. (a) Ground truths; (b) speckle images; (c) retrieving results of URNet model; (i)-(iv) represent different handwriting English letters U, S, H, and C,respectively
    Retrieving results under external interference. (a) Results of occlusion of speckle signal; (b) retrieving results of URNet model. (i)-(vi) represent occlusion proportion of 0, 0.0625, 0.1250, 0.1875, 0.2500, and 0.3125, respectively
    Retrieving results of different models. (a) Ground truths; (b) retrieving results of URNet model; (c) retrieving results of speckle autocorrelation model; (i)-(iv) different handwriting characters 9, 2, 6, and 0, respectively
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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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