基于SVM和空间投影的点云空洞修补方法

Point Cloud Hole Filling Method Based on SVM and Space Projection

为实现在逆向工程中的点云空洞修复,在理论研究的基础上,通过空间投影获得二维数据,采用支持向量机做回归分析,获得残缺点的坐标参数,从而完成空洞修补,运用数字实验对该方法的可行性进行验证,仿真实验结果表明,该方法可以获得良好的修补效果,能够为曲面建模和数控系统G代码的生成提供完整的点云数据,具有一定应用价值。

In order to implement the point cloud hole filling in reverse engineering, this paper adopts space projection technology and Supported Vector Machine（SVM） based on Statistic Learning Theory（SLT）. Coordinate value of fragmentary points can be gotten by SVM regression, and the whole filling work can be finished by this method. Some numerical experiments have been applied to verify the feasibility of this method. Simulation experimental results show its good performance, and it can give complete points for curve modeling and G code generation in the next step. It has the application values.