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带噪声的点云数据的隐式曲面重建算法

杨军 诸昌钤

杨军, 诸昌钤. 带噪声的点云数据的隐式曲面重建算法[J]. 西南交通大学学报, 2008, 21(1): 29-34.
引用本文: 杨军, 诸昌钤. 带噪声的点云数据的隐式曲面重建算法[J]. 西南交通大学学报, 2008, 21(1): 29-34.
YANG Jun, ZHU Changqian. Algorithm for Implicit Surface Reconstruction from Point Cloud Data with Noises[J]. Journal of Southwest Jiaotong University, 2008, 21(1): 29-34.
Citation: YANG Jun, ZHU Changqian. Algorithm for Implicit Surface Reconstruction from Point Cloud Data with Noises[J]. Journal of Southwest Jiaotong University, 2008, 21(1): 29-34.

带噪声的点云数据的隐式曲面重建算法

基金项目: 

国家自然科学基金资助项目(60672099)

详细信息
    作者简介:

    杨军(1973- ),男,副教授,博士研究生,研究方向为计算机图形学,E-mail:yangj@mail.lzjtu.cn

Algorithm for Implicit Surface Reconstruction from Point Cloud Data with Noises

  • 摘要: 针对三维扫描获取的带噪声和离群点的点云数据,提出了隐式曲面重建算法.用基于均值漂移的滤波算子,把每个采样点移动到核密度函数的局部最大值的点,以限制噪声并剔除离群点.然后,用自适应的八叉树空间划分方法将降噪后的采样点数据分成小的子域.最后,在每个子域内计算局部形状函数,并用单位分解法将所有的局部形状函数加权求和以逼近模型的全局函数.实验表明,该方法是鲁棒的,能用带噪声和离群点的点云数据实现多分辨三维重建,得到细节丰富的曲面.

     

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出版历程
  • 收稿日期:  2006-12-05
  • 刊出日期:  2008-02-25

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