3D Point Cloud Data and Processing
摘要
3D point cloud data can be obtained by laser scanning or photogrammetry and can also be seen as a representation of 3D digitization of the physical world. Point cloud data is a kind of temporal and spatial data. Its data structure is relatively simple, its storage space is relatively compact, and its representation of local details of complex surfaces is relatively complete. It has been widely used in many fields [1]. However, 3D point cloud data often lacks correlations with each other, and the amount of data is very large, which brings many challenges to its processing [2].