基于深度特征的足底曲面三角剖分重构
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摘要
三维重构可理解为曲线曲面的拟合,以三角剖分为特点的复杂曲面被广泛应用。文中提出一种基于点云深度特征的细节三角剖分方法,详细介绍了以线激光扫描为基础的足底点云数据的重构过程。首先,对带状数据点分段处理,设定阈值补充漏点,删除无用段;接着,以8-邻接域法为主寻找边界点,并排序连接构成闭合曲线;其次,对带状数据点进行Savitzky-golay滤波;最后,根据数据二维网格形式的拓扑关系构建四边形网络,并使用提出的细节三角剖分方法进行面片分割。实验表明,给出的曲面重构方法响应迅速,展示的边界与内部细节特征明显。
3 D reconstruction can be understood as the fitting of curves and surfaces,and the complex surfaces characteri-zed by triangulation is widely applied.This paper proposed a detail triangulation method based on depth feature of point cloud.The reconstruction method of foot point cloud data based on line laser scanning was introduced in detail.First,the strip data points are segmented by piecewise processing,the threshold is setted to supplement the leakage points and delet the useless segments.Then,the 8-adjacency domain method is used to find the boundary points and to sort the closed curves,and the band data points are filtered by Savitzky-golay.Finally,the basis is based on the method of filtering the banded data points.The topological relationship of two-dimensional mesh forms a quadrilateral network,and the detail triangulation method is used to segment the faces.Experiments show that the method of surface reconstruction is fast,and the boundary and internal details are obvious.
3 D reconstruction can be understood as the fitting of curves and surfaces,and the complex surfaces characteri-zed by triangulation is widely applied.This paper proposed a detail triangulation method based on depth feature of point cloud.The reconstruction method of foot point cloud data based on line laser scanning was introduced in detail.First,the strip data points are segmented by piecewise processing,the threshold is setted to supplement the leakage points and delet the useless segments.Then,the 8-adjacency domain method is used to find the boundary points and to sort the closed curves,and the band data points are filtered by Savitzky-golay.Finally,the basis is based on the method of filtering the banded data points.The topological relationship of two-dimensional mesh forms a quadrilateral network,and the detail triangulation method is used to segment the faces.Experiments show that the method of surface reconstruction is fast,and the boundary and internal details are obvious.
引文
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[8] 高翔,王华,陈关龙.面向复杂形面匹配的边界特征提取方法[J].哈尔滨工业大学学报,2016,48(7):46-50.
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[11] 李兰友.Visual C++.NET图形图像编程[M].北京:电子工业出版社,2002:253-257.
[2] 吴福生,丁玉成,卢秉恒.基于点云数据复杂曲面产品的快速开发[J].西安交通大学学报,2002,36(11):1151-1155.
[3] 周富强,李章,张广军.基于三维测量扫描线点云的表面重建[J].仪器仪表学报,2006,27(6):619-623.
[4] 孙晓鹏,李思慧,王璐,等,耳廓点云形状特征匹配的路径跟随算法[J].软件学报,2015,26(5):1251-1264.
[5] 张爱武,孙卫东,李风亭.基于激光扫描数据的室外场景表面重建方法[J].系统仿真学报,2005,17(2):384-387.
[6] 王建军,魏宗信,黄龙传.Z-map模型点云的边界提取及光顺[J].机床与液压,2010,23(12):41-44.
[7] 孙殿柱,刘华东,史阳,等,基于核密度估计的散乱点云边界特征提取[J].农业机械学报,2013,44(12):275-279.
[8] 高翔,王华,陈关龙.面向复杂形面匹配的边界特征提取方法[J].哈尔滨工业大学学报,2016,48(7):46-50.
[9] 张旭,王青,柯映林.基于模板的点云边特征提取技术[J].计算机集成制造系统,2008,14(6):1175-1181.
[10] 丁丽娟,程杞元.数值计算方法[M].北京:北京理工大学出版社,2005:101-164.
[11] 李兰友.Visual C++.NET图形图像编程[M].北京:电子工业出版社,2002:253-257.