基于支持向量机的优化子采样曲面表示研究
Optimized Sub-sample Curve Expression Based on SVM
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摘要: 讨论了基于点云数据的曲面表示问题．采用ε-支持向量回归机和v-支持向量回归机实现点云数据的两次预处理．使用贪婪算法求解几何优化问题，从而得到点云数据的一个曲面表示．实验结果表明，所提方法具有建模光顺性好、处理速度快等优点．Abstract: Curve expression based on point cloud is discussed.ε-Support Vector Regression Machine(ε-SVRM) and v-Support Vector Regression Machine(v-SVRM) are proposed to preprocess point cloud data twice.Geometrical optimization is solved by greedy algorithm,and a curve expression based on point cloud is obtained.Experiment results show that the proposed method is of such advantages as smooth curving and fast processing speed.
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