CAJ | 학술논문

三维激光扫描技术可以快速获取海量数据,如何提取数据中的点云边界点是一个重要的研究课题.先将三维点云坐标数据转换成深度图像,然后逐点比较深度图像中每个采样点及其邻域点的距离变化,通过赋分计算判断该点是否为点云边界点并进行边界点分类.利用两个场景的点云数据对该算法的效果进行检验,实验中该算法基本能正确提取物体边界点并作分类,具有一定的实用性.
삼유격광소묘기술가이쾌속획취해량수거,여하제취수거중적점운변계점시일개중요적연구과제.선장삼유점운좌표수거전환성심도도상,연후축점비교심도도상중매개채양점급기린역점적거리변화,통과부분계산판단해점시부위점운변계점병진행변계점분류.이용량개장경적점운수거대해산법적효과진행검험,실험중해산법기본능정학제취물체변계점병작분류,구유일정적실용성.
@@@@By using 3D laser scanning technology ,a vast amount of data can be quickly acquired ,but how to extract the boundary points of point cloud data is a significant research issue .Here ,3D point cloud data is firstly converted into a range image ,and then the distance changes of each sampling point and its neighborhood are compared ,finally by mark-ing the point ,it is determined whether the point is a boundary point ,and then the classification of the boundary points is carried out .Through testing the algorithm by two point cloud data ,it is found that the algorithm could extract the bound-ary points correctly and classify them ,which shows that the algorithm has a certain practicality .