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基于径向基函数的残缺点云数据修复 被引量：35

Filling Holes in Point Cloud with Radial Basis Function
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摘要 提出一种具有较强鲁棒性的残缺点云数据修复算法,借助kD tree寻找点云的缺陷边界,确定点云的缺陷区域;然后利用二次曲面的特性参数化边界点列;最后,通过径向基函数表示的插值曲面计算位于残缺区域内部的数据点,实现残缺点云数据的修复. k dimension tree is constructed to trace the boundary points of each hole in point cloud, which are refined and parameterized with a normalized quadric surface. RBF surface is defined to interpolate the boundary points and generate uniformly distributed point mesh in the hole, RBF surface is somehow superior to B-spline surface in its shape-preversing and smooth blending ability.
作者 陈飞舟 陈志杨 丁展 叶修梓 张三元
机构地区 浙江大学计算机学院 浙江工业大学软件学院
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2006年第9期1414-1419,共6页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(60473106 60333010) 浙江省自然科学基金(Y104269)
关键词 点云 孔洞修补 径向基函数 插值曲面 参数化 point cloud hole filling radial basis function interpolation surface parameterization
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献11

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二级参考文献31

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共引文献164

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引证文献35

二级引证文献178

计算机辅助设计与图形学学报
2006年 第9期

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