id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-22339	Wu, Jing; Zhang, Mingchuan	A Review of Point Cloud Alignment Methods and Their Applications	2024	7	.pdf	application/pdf	4993	295	50	Finally, Bai et al [39] proposed PointDSC (Point Distributions to Subspaces Correspondence) in 2021, by learning the distribution of point clouds and the correspondence of subspaces, PointDSC utilizes deep spatial consistency techniques to further improve the alignment in the process of point cloud alignment in terms of alignment accuracy and efficiency in the process of point cloud alignment, demonstrating its wide potential in practical applications. With the development of optimization methods and deep learning techniques, the robustness and efficiency of point cloud alignment have been significantly improved.	cache/ajst-22339.pdf	txt/ajst-22339.txt