REGISTRATION OF POINTCLOUD AND CAD MODEL BASED ON EXTENDED GAUSSIAN SPHERE
REGISTRATION OF POINTCLOUD AND CAD MODEL BASED ON EXTENDED GAUSSIAN SPHERE
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DOI：
10.3901/jme.2007.06.142
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发表时间：
2007
影响因子：
4.2
通讯作者：
Zhang Xuechang
中科院分区：
文献类型：
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作者：
Zhang Xuechang
点云和CAD模型的注册中存在一些问题，例如定义点云和CAD模型的初始相应位置，注册方法的效率。为了解决它们，提出了一种基于扩展高斯球体的新快速模板匹配方法。跨形成扩展的高斯空间和笛卡尔空间解决了初始相应的位置。为了提高注册效率，CAD直接对象点云用于点云和CAD模型的注册。当匹配两个点云时，点云和CAD模型也位于同一坐标系中。因为使用搜索方法使点云中的最接近点取代了点云和NURBS之间的优化方法，因此该方法的效率已促进。某些情况是为了证明该方法的校正。
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. Trans-forming 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.