Acta Photonica Sinica, Volume. 51, Issue 2, 0212003(2022)
A Three-dimensional Point Cloud Denoising Method Based on Adaptive Threshold
Figures & Tables(12)
Fig. 3. Flow charts of the threshold adaptive denoising algorithm based on nonlinear function
Table 1. The result of the proposed method
View tableView in ArticleTable 1. The result of the proposed method
Number of points Precision Time/s Bunny_0 43 256 98.5% 12.51 Bunny_180 44 251 96.5% 12.79 Dragon_0 38 436 97.7% 13.12 Dragon_120 45 841 97.1% 12.06
Table 2. The performance comparison among different denoising methods
View tableView in ArticleTable 2. The performance comparison among different denoising methods
Number of points Denoising algorithm Precision Time/s Bunny 43 256 Radius filtering algorithm 83.9% 10.31 Algorithm in Ref.［ 17 ］95.1% 14.22 Algorithm in Ref.［ 18 ］93.3% 14.61 The proposed method 98.5% 12.51 Dragon 38 436 Radius filtering algorithm 82.8% 10.06 Algorithm in Ref.［ 17 ］94.1% 14.82 Algorithm in Ref.［ 18 ］91.9% 15.30 The proposed method 97.7% 13.12
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Bin REN, Jianyuan CUI, Gang LI, Haili SONG. A Three-dimensional Point Cloud Denoising Method Based on Adaptive Threshold[J]. Acta Photonica Sinica, 2022, 51(2): 0212003
Paper Information
Category: Instrumentation, Measurement and Metrology
Received: Jul. 22, 2021
Accepted: Sep. 3, 2021
Published Online: May. 19, 2022
The Author Email: REN Bin (renbin@stdu.edu.cn)
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