Normal Vector of the 3D Point Cloud Estimates and Close to the Point Normal Vector Adjustment Methods

Abstract

The normal vector is one of the important properties of the 3D point cloud data, estimation methods have been important research in the field. The normal vector estimation is the basis of the 3D point cloud subsequent follow-up of the light treatment, curvature calculation and surface reconstruction. Introduced an automatic space by greatly increasing the speed of the point cloud neighborhood search, given the fast and efficient point cloud normal vector estimation and adjustment algorithm based on the normal vector near the point, the experiments show the effectiveness of the method.