Boundary detection of point cloud data based on grid
Dehua Zheng · Engineering of Surveying and Mapping · 2013
It analyzes the characteristics of 3D laser scanning point cloud data,then presents a method of the boundary extraction of image converted from 3D point cloud.The original point cloud data reach to X,Y direction normalized via scanning line grouping by transforing the regular data to the image along Z axis representing the depth.Then Canny operator is used to extract the edge information.Finally the display is transformed into 3D space.The experiment shows that based on point cloud data grid boundary detection method can achieve 3D point cloud boundary extraction and display quickly,which can be used in the post-processing tasks such as the point cloud registration,the corner detection,3D model,etc.