• Optical Instruments
  • Vol. 42, Issue 2, 39 (2020)
Xiangzhou DENG and Rongfu ZHANG*
Author Affiliations
  • School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
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    DOI: 10.3969/j.issn.1005-5630.2020.02.007 Cite this Article
    Xiangzhou DENG, Rongfu ZHANG. Monocular colony depth extraction algorithms based on transfer learning[J]. Optical Instruments, 2020, 42(2): 39 Copy Citation Text show less
    Structural diagram of selecting equipment
    Fig. 1. Structural diagram of selecting equipment
    Structural diagram of residual module
    Fig. 2. Structural diagram of residual module
    Deep estimation network structure diagram
    Fig. 3. Deep estimation network structure diagram
    Colony dataset images
    Fig. 4. Colony dataset images
    Comparison of disparity map effects
    Fig. 5. Comparison of disparity map effects
    方法δRelδRMSδlogRMSt1t2t3
    Make3D[14]0.2828.7340.3610.6010.8200.926
    Eigen Coarse0.2146.5630.2920.6730.8840.957
    Eigen Fine0.2036.3070.2820.7020.8900.958
    Laina0.2016.4710.2730.6800.8980.967
    Ours0.1716.1980.2560.7640.9120.968
    Table 1.

    Comparison of experimental results on KITTI dataset

    基于KITTI数据集上的实验结果对比

    Xiangzhou DENG, Rongfu ZHANG. Monocular colony depth extraction algorithms based on transfer learning[J]. Optical Instruments, 2020, 42(2): 39
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