Abstract
Technical demands for extraction of significant components from spatial models are increasing as 3D sensor and its application technology had been developed and popularized. Conventional feature extraction for 2D image cannot apply to depth images analysis, and is not suitable for 3D construction analysis because it extracts gradation between pixel values. In this paper, we propose a novel method for extraction of characteristic elements from 3D point cloud with an inspection about inner product distribution of normal vector on points. In our numerical experiments, characteristics on each point were extracted by the proposal method with robustness to noises and structural holes.
