Laser & Infrared, Volume. 54, Issue 1, 48(2024)
3D point cloud adaptive algorithm based on LiDAR SLAM
[4] [4] Wei Z, Huadong G, Qi L, et al. Fine deformation monitor ing of ancient building based on terrestrial laser scanning technologies[C]//TOP Conference Series: Earth and Environmental Science. IOP Publishing, 2014: 682-691.
[5] [5] Pesci A, Casula G, Boschi E. Laser scanning the Garisen-da and Asinelli towers in Bologna (Italy): detailed defor-mation patterns of two ancient leaning buildings[J]. Journal of Cultueal Heritage, 2011, 12(2): 117-127.
[8] [8] Filip D, Magedson R, Markot R. Surface algorithms using bounds on derivatives[J]. Computer Aided Geometric Design, 1986, 3(4): 295-311.
[9] [9] Fleishman S, Drori I, Cohen-Or D. Bilateral mesh denoising[J]. ACM Transactions on Graphics, 2003, 22(3): 950-953.
[10] [10] Pauly M, Gross M, Kobbelt L P. Efficient simplification of point-sampled surfaces[C]//IEEE Visualization, 2002: 163-170.
[14] [14] Paul J. Besl, Neil D. McKay. Method for registration of 3-D shapes[J]. Proceeding of SPIE-the International Society for Optical Engineering, 1992, 14(3): 239-256.
[22] [22] Gross M, Pfister H. Point-based graphics[M]. San Francisco: Morgan Kaufmann Publishers Inc, 2007.
Get Citation
Copy Citation Text
JIANG Xiao-yong, WU Qi-wei, WEI Xuan, YING Kai-jiang, CHEN Yi-lei, WEI Yi-ming, WANG Zheng-hang, TAO Hui-xiang. 3D point cloud adaptive algorithm based on LiDAR SLAM[J]. Laser & Infrared, 2024, 54(1): 48
Category:
Received: Apr. 28, 2023
Accepted: Apr. 22, 2025
Published Online: Apr. 22, 2025
The Author Email: