Point Cloud Simplification Optimization Strategy and Experimental Research Based on Multiple Algorithms

Raobo Li; Xiping Yuan; Shu Gan; Rui Bi

doi:10.3788/LOP57.231402

[1] Fan Q, Yao W Q, Chen P[J]. Research on 3D modeling based on cycloneBulletin of Surveying and Mapping, 2015, 76-79.

[2] Lu D D, Zou J G[J]. Comparative research on denoising algorithms of 3D laser point cloud Bulletin of Surveying and Mapping, 2019, 102-105.

[3] Ge B Z, Zhao D, Tian Q G et al. Three-dimensional human face laser scanning based on three-line structured light[J]. Chinese Journal of Lasers, 37, 1594-1598(2010).

[4] Zhou Y, Zhang W B, Du F R et al. Algorithm for reduction of scattered point cloud data based on curvature[J]. Transactions of Beijing Institute of Technology, 30, 785-789(2010).

[5] Lee K H, Woo H, Suk T. Data reduction methods for reverse engineering[J]. The International Journal of Advanced Manufacturing Technology, 17, 735-743(2001). http://link.springer.com/article/10.1007/s001700170119

[6] Li R Z, Yang M, Ran Y et al. Point cloud denoising and simplification algorithm based on method library[J]. Laser & Optoelectronics Progress, 55, 011008(2018).

[7] Wang L Y, Wang S, Li Y. Airborne LiDAR 3D filtering based on intensity voxel primitive[J]. Journal of Geo-Information Science, 21, 1945-1954(2019).

[8] Liu Y, Sun S Y. Laser point cloud denoising based on principal component analysis and surface fitting[J]. Laser Technology, 44, 497-502(2020).

[9] Su Z X, Li Z Y, Wang X C. Denoising of point-sampled model based on normal mollification and median filtering[J]. Journal of Computer-Aided Design & Computer Graphics, 22, 1892-1898(2010).

[10] Yao W Q, Zheng J L, Chen P et al. An octree-based mesh simplification algorithms for 3-dimension cloud data[J]. Science of Surveying and Mapping, 41, 18-22(2016).

[11] Liu C, Wu H B. Compress method for three dimension laser scanning data based on 3D triangulated irregular network[J]. Geomatics and Information Science of Wunan University, 31, 908-911(2006).

[12] He Y B, Chen R L, Wu K et al. Point cloud simplification method based on k-means clustering[J]. Laser & Optoelectronics Progress, 56, 091002(2019).

[13] Zhang W M, Qi J B, Wan P et al. An easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 8, 501-523(2016).

[14] Li J T, Cheng X J, Yang Z X et al. Curvature-grading-based compression for point cloud data[J]. Laser & Optoelectronics Progress, 56, 142801(2019).

[15] Xie R, Xiao H H. Compression criterion for point clouds of TLS[J]. Geotechnical Investigation & Surveying, 41, 64-68(2013).

[16] Wu J J. Research of point-based techniques on unorganized point cloud[D]. Wuhan: Huazhong University of Science and Technology, 10-12(2004).

[17] Zhu G T, Ye M L[J]. Research on the method of point cloud denoising based on curvature characteristics and quantitative evaluation Bulletin of Surveying and Mapping, 2019, 105-108.