摘要
提出了一种基于逆向工程的三维测量点云数据与CAD数模配准算法,该算法分两个步骤,即粗配准和精配准。粗配准采用主方向重合法来缩小三维测量点云数据与CAD数模的平移错位和旋转错位;精配准采用四元数法在粗配准的基础上使二者更为精准地重合在一起。该算法已通过VC++代码进行实现,结果表明这种方法能较好地使二者配准。
This paper presents a 3D point cloud data with CAD model registration algorithm based on the reverse engineering,which is divided into two steps.One is rough registration and the other is refined registration.Rough registration that adopts primary direction superposition algorithm can narrow 3D point cloud data and CAD model for the translation and rotation dislocation;based on rough registration,refined registration that adopts quatemion algorithm makes the two models match exactly.We carry it out by VC.It shows that the method can make good registration.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2007年第S2期216-217,共2页
Journal of Liaoning Technical University (Natural Science)
关键词
配准
主方向重合
四元数
registration
primary direction superposition
quaternion
