摘要
点云匹配问题是计算机技术中的一个非常重要的问题,在表面重建、三维物体识别、定位追踪等问题中有着极为重要的作用。针对现有的点云匹配算法无法很好地适用于部件位姿调整过程中的点云匹配任务,进而无法完成姿态追踪等问题,提出基于加权距离投票的点云匹配算法,完成部件表面点云的匹配。
Point cloud matching is a very important problem in computer technology,which plays a very important role in sur⁃face reconstruction,3D object recognition,location tracking and other problems.Aiming at the problem that the existing point cloud matching algorithm is not suitable for the point cloud matching task in the process of component pose adjustment,and thus cannot complete the position tracking,a point cloud matching algorithm based on weighted distance voting is proposed to complete the matching of component surface point cloud.
作者
韩德川
Han Dechuan(The 20th Institute of China Electronics Technology Group Corporation,Xi’an 710068)
出处
《现代计算机》
2022年第11期35-40,共6页
Modern Computer
关键词
点云匹配
加权距离投票
位姿调整
point cloud matching
weighted distance voting
pose adjustment
