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Received: Jun. 9, 2020
Accepted: Jul. 27, 2020
Posted: Dec. 1, 2020
Published Online: Nov. 18, 2020
The Author Email: Yang Ping (pingyang2516@163.com)
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Junlong Wu, Zhenghua Guo, Xianfeng Chen, Shuai Ma, Xu Yan, Licheng Zhu, Shuai Wang, Ping Yang. Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(12): 1204005
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measurement and metrology
Table 1. Badpixel(0.07) comparison of different algorithms
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Table 1. Badpixel(0.07) comparison of different algorithms
Scene LF_OCC EPI2 LF FocalStackNet EPInet Proposed Boxes 26.52 29.80 23.02 14.33 12.24 11.46 Cotton 6.22 16.69 7.83 0.58 0.46 0.51 Dino 14.91 15.67 19.03 2.53 1.26 1.14 Sideboard 18.50 18.95 21.99 5.40 4.78 4.56 Backgammon 19.01 22.08 5.52 4.34 3.28 1.87 Pyramids 3.17 1.08 12.35 0.29 0.15 0.28 Dots 5.82 46.53 2.90 1.02 1.98 3.49 Stripes 18.41 23.81 35.74 3.72 0.91 0.85
Table 2. MSE comparison of different algorithms
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Table 2. MSE comparison of different algorithms
Scene LF_OCC EPI2 LF FocalStackNet EPInet Proposed Boxes 9.85 10.93 17.43 11.82 6.01 4.81 Cotton 1.07 4.32 9.17 0.88 0.22 0.23 Dino 1.14 2.07 1.16 0.89 0.15 0.15 Sideboard 2.30 4.65 5.07 1.96 0.81 0.59 Backgammon 21.59 20.78 13.01 6.58 3.91 2.39 Pyramids 0.10 0.02 0.27 0.02 0.007 0.01 Dots 3.30 6.66 5.68 1.87 1.98 4.29 Stripes 8.13 6.10 17.45 1.79 0.91 0.85
Table 3. Runtime comparison of different algorithms unit: s
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Table 3. Runtime comparison of different algorithms unit: s
Scene LF_OCC EPI2 LF FocalStackNet EPInet Proposed Boxes 10408.26 8.91 962.18 85.04 2.03 1.03 Cotton 6325.51 9.07 984.53 84.90 2.03 1.04 Dino 10099.05 8.09 1130.56 85.62 2.03 1.07 Sideboard 13531.30 8.74 987.47 84.77 2.02 1.11 Backgammon 5116.25 6.93 979.87 84.24 2.02 1.04 Pyramids 11688.42 6.88 929.72 92.09 2.02 1.04 Dots 10820.85 7.66 979.87 81.56 2.03 1.08 Stripes 19331.42 8.53 1093.98 91.92 2.03 1.07
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