pycpd:相干点漂移算法的纯Numpy实现-源码

上传者: 42134769 | 上传时间: 2021-09-07 16:56:13 | 文件大小: 52KB | 文件类型: ZIP
Python CPD 相干点漂移算法的纯Numpy实现。 MIT许可证。 介绍 这是Myronenko和Song编写的相干点漂移算法的纯数字实现。 它为点云提供了三种配准方法:1)规模配准和刚性配准; 2)仿射注册; 3)高斯正则化非刚性注册。 CPD算法是用于对齐两个点云的配准方法。 在这种方法中,将移动点云建模为高斯混合模型(GMM),将固定点云视为来自GMM的观测值。 最佳变换参数将最大后验(MAP)估计最大化,即从GMM绘制观察到的点云。 配准方法适用于2D和3D点云。 有关更多信息,请参阅我的。 点安装 pip install pycpd 从源安装 将存储库克隆到一个位置,称为root文件夹。 例如: git clone https://github.com/siavashk/pycpd.git $HOME /pycpd 安装软件包: pip install . 对

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