Optics and Precision Engineering, Volume. 29, Issue 10, 2495(2021)
Adaptive reconstruction of 3D point cloud by sparse optimization
Figures & Tables(7)
Fig. 2. Comparison of neighbor points identification and normal estimation
Fig. 4. Comparison of reconstruction effects of synthetic point clouds
Fig. 5. Quantitative comparison of reconstruction effects of synthetic point clouds
Table 1. Time consumption statistics of different algorithms
View tableView in ArticleTable 1. Time consumption statistics of different algorithms
算法 迭代
次数
时间（s） 二面角
（N=2 145）
圆柱体
（N=6 146）
APSS 8 0.174 0.191 16 0.362 0.398 24 0.552 0.606 RIMLS 8 0.132 0.145 16 0.268 0.292 24 0.407 0.444 L0 8 0.988 1.305 16 1.845 2.814 24 2.998 4.640 OURS 8 0.942 1.643 16 2.275 3.448 24 3.488 5.205
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Xiao-wei FENG, Hai-yun HU, Rui-qing ZHUANG, Min HE. Adaptive reconstruction of 3D point cloud by sparse optimization[J]. Optics and Precision Engineering, 2021, 29(10): 2495
Paper Information
Category: Information Sciences
Received: Apr. 20, 2021
Accepted: --
Published Online: Nov. 23, 2021
The Author Email: FENG Xiao-wei (xwfeng1982@163.com)
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