객체 모델링을 위한 특징점 추출 및 형태 분석

Object modeling is one of the important tasks for establishing spatial information infrastructure. During last several decades, many efforts have been made to automation of the object modeling. The major sources of spatial data are optical images and LiDAR data from different platforms. Since LiDAR data provide 3D coordinates of the object surfaces explicitly, more intrinsic information about objects could be obtained compared with images. This paper aims to determine model key points (MKPs) of the objects from point clouds provided by LiDAR data. While most of the object modeling methods require segmenting surface patches, the proposed method could extract MKPs directly from point cloud data and makes possible to analyze shape of the objects.