In order to improve the hole-filling precision of point cloud data and solve some limitations of the current methods, a point cloud data hole-filling algorithm based on moving least square method is proposed. The research status of hole filling of point cloud data is analyzed to get the hole data on the curved surface of the point cloud data. The moving least square method is used to repair the holes of the point cloud data. Its feasibility was tested with a specific application example. The results show that the method can repair the hole of the point cloud data effectively,and get the ideal curved surface reconstruction effect of point cloud data.%由于受到多种因素的综合作用,点云数据不完整,曲面上出现了一些孔洞,为了提高点云数据的孔洞修补精度,解决目前一些方法的局限性,提出基于移动最小二乘法的点云数据孔洞修补算法.首先对当前点云数据孔洞修补研究现状进行分析,并得到点云数据曲面上的孔洞数据,采用移动最小二乘法对点云数据孔洞进行修补,最后通过具体应用实例对其可行性进行测试.结果表明该方法可以对点云数据孔洞进行有效修补,能够获得比较理想的点云数据曲面重建效果.
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