Optics and Precision Engineering, Volume. 30, Issue 14, 1669(2022)

Research on 3D reconstruction of microscope imaging based on Harris-SIFT algorithm and full convolution depth prediction

Baoxiang ZHANG1... Zhenming YU2,* and Qiuhui YANG3 |Show fewer author(s)
Author Affiliations
  • 1School of Computer,Electronics and Information,Guangxi University,Nanning530004,China
  • 2Guangxi Key Laboratory of Machine Vision and Intelligent Control,Wuzhou University, Wuzhou54300,China
  • 3School of Data Science & Software Engineering,Wuzhou University,Wuzhou54002,China
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    Figures & Tables(17)
    KEYENCE VHX-6000
    Change of Harris corner detection
    SIFT description of feature points
    Triangulation
    Depth prediction network structure
    Multi-view image of capacitance
    Selected image to be matched
    Experimental results of three matching algorithms
    Sparse point cloud reconstruction
    Depth prediction result
    Depth map
    Densely reconstructed point cloud
    Poisson surface reconstruction results
    Robustness test
    • Table 1. Experimental data of different matching algorithms

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      Table 1. Experimental data of different matching algorithms

      Matching algorithmImg_L feature_pointImg_R feature_pointMatching_pointMatching_accuracyTime/s
      Harris1 4031 3721 05780.61%6.02
      SIFT1 7861 63172391.53%11.64
      Ours85092739294.82%4.61
    • Table 2. Experimental data of SfM sparse reconstruction

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      Table 2. Experimental data of SfM sparse reconstruction

      AlgorithmNum_image_matchesTime/minNum_point_cloud
      OpenMVG3 10710.83913 257
      SFM3 05711.14614 088
      Ours4 2819.72416 440
    • Table 3. Dense reconstruction experimental data

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      Table 3. Dense reconstruction experimental data

      AlgorithmRMSERELLOG10Time/minNum_point_cloudSSIM
      COLMAP2.3960.1210.07312.335560 0120.64
      Ours1.1270.0860.0429.724735 0160.89
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    Baoxiang ZHANG, Zhenming YU, Qiuhui YANG. Research on 3D reconstruction of microscope imaging based on Harris-SIFT algorithm and full convolution depth prediction[J]. Optics and Precision Engineering, 2022, 30(14): 1669

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    Paper Information

    Category: Modern Applied Optics

    Received: Mar. 4, 2022

    Accepted: --

    Published Online: Sep. 6, 2022

    The Author Email: YU Zhenming (yumingming@ vip.sina.com)

    DOI:10.37188/OPE.20223014.1669

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