Improved Preprocessing and Optimized 3D Reconstruction Algorithm of Adaptive Simplified Point Cloud

Fig. 2. Comparison diagrams of statistical filtering for removing outlier noise. (a) Point cloud with outlier noise; (b) point cloud after statistical filtering and denoising

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Fig. 3. Subsampling point cloud maps of bunny.(a) Subsampling 1; (b) subsampling 2; (c) subsampling 3; (d) subsampling 4

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Fig. 4. Simplified point cloud models and local enlarged images. (a)(f) Original images; (b)(g) subsampling 1; (c)(h) subsampling 2; (d)(i) subsampling 3; (e)(j) subsampling 4

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Fig. 5. Comparison of reconstruction results of different algorithms. (a) Algorithm 1; (b) algorithm 2; (c) algorithm 3; (d) proposed algorithm

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Table 1. Experimental parameters for four voxel subsampling
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Table 1. Experimental parameters for four voxel subsampling
Voxel subsampling $P_{m a x}$ Point cloud number Point cloud simplification rate /%
Subsampling 1 30000 28981 19.27
Subsampling 2 25000 24716 31.16
Subsampling 3 20000 19727 45.05
Subsampling 4 15000 14586 59.37

Table 2. Surface reconstruction parameters for different reconstruction algorithms

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Table 2. Surface reconstruction parameters for different reconstruction algorithms

Algorithm	Point cloud number	Point cloud simplification rate /%	Triangular one-sided number	Reconstruction time /s
Algorithm 1	35982	0	71603	30.974
Algorithm 2	35903	0.22	71544	30.506
Algorithm 3	27924	22.39	55273	23.407
Proposed algorithm	14586	59.46	28597	11.555

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Zhixin Hu, Liuyang Cao, Dongfang Pei, Zijun Mei. Improved Preprocessing and Optimized 3D Reconstruction Algorithm of Adaptive Simplified Point Cloud[J]. Laser & Optoelectronics Progress, 2023, 60(20): 2028005

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