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NICP

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由于最近在做人体表面重建的项目,因此需要使用到ICP和NICP。

所以使用pytorch进行NICP(Optimal Step Nonrigid ICP Algorithms for Surface Registration)的复现

主要用到的包如下:

python=3.8
pytorch=1.8.0+cu111
scikit-learn==1.1.1
open3d==0.11.1

点云数据见data目录,pkl文件有三个key,分别是points,color,tex。

points对应着点云 N x 3维

color 点云对应颜色 N x 3维

tex 纹理信息 N x 3 维

NICP只用到了points信息,所以其他可以占时不考虑

配准

python nicp.py

可以修改 nicp文件里面的nicp方法,最后部分直接进行结果展示。我是在Ubuntu服务器上运行所以需要暂存点云文件。至于Ubuntu可以直接显示open3d的同样可以修改这部分通过服务器观察结果。

可视化结果

python load_data.py

配准前

image-20220727214021032

配准后

image-20220727214029011

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