Point cloud registration method based on SIFT and geometry feature

Abstract

In order to improve the registration accuracy, the algorithm framework of system is proposed. The object is extracted based on threshold segmentation. The initial corresponding points are acquired based on scale-invariant feature transform (SIFT) operator. Furthermore, the curvature are performed to get rid of the wrong points. With proposed estimation method of overlapped parts, the fine registration is carried out. The experiments are utilized to verify the superiority of proposed method.