A point cloud registration method based on point cloud region and application samples

Abstract

In this study, a new automatic point cloud registration algorithm based on point cloud registration is proposed to broaden registration ways. The proposed method extracts features of point cloud region for performing the coarse registration. Based on the coarse registration results, the Iterative Closest Point (ICP) algorithm is used for performing the fine registration to restore the measured model. The proposed registration approach is able to do automatic registration without any assumptions about initial positions, and avoid the problems of traditional ICP algorithm in the bad initial estimation. The proposed method along with ICP algorithm provides efficient 3D modeling for computer-aided engineering, computer-aided design and application with Kinect.