REGISTRATION OF POINTCLOUD AND CAD MODEL BASED
ON EXTENDED GAUSSIAN SPHERE

ZHANG Xuechang^{1, 2}  XI Juntong¹  YAN Junqi¹

(1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030;
2. School of Mechanical and Electrical Engineering, Zhengzhou Institute of Light Industry, Zhengzhou 450002 )

Abstract: There are some problems in the registration of point cloud and CAD model, such as definition initial corresponding position of point cloud and CAD model, registration method’s efficiency. In order to solve them, a new fast template matching method based on extend Gaussian sphere is proposed. Transforming the extended Gaussian space and Cartesian space solves the initial corresponding position. In order to promote the efficiency of registration, the CAD direct object point cloud is used in the registration of point cloud and CAD model. When two point clouds had been matched, the point cloud and CAD model had also been in the same coordinate system. Because using the searching method to get the closest point in point cloud replaces the optimization method between the point cloud and NURBS, the efficiency of the method has promoted. Some cases are done to prove the method’s correction.

Key words: Extended Gaussian sphere Registration Pointcloud CAD model Iterative closet point

CLC No: TP206

国家自然科学基金(50375093)和高等学校学科创新引智计划资助项目. Received 20060711, received in revised form 20070104