DCP for two different point clouds

[vma1996]

DCP focuses on finding Rigid Transformations given source and target point cloud. DCP is trained by randomly applying rotation and transformation on the source point cloud to generate a target point cloud, the Network is then used to predict the transformation.
In my scenario, I have two point clouds of the same object taken at different points in time and I have to register these 2 point clouds. As in real-life scenarios, the source and target points are never exactly the same. Even after uniform sampling, we can't guarantee this condition. Can anyone suggest how I can use DCP to solve this issue?

[phy12321]

I have same problem, have you solved it ?

[vp79247]

I have same problem can anyone please help me?

[Yjzzzzzz]

I have same problem

[abc-def-g]

I do not think DCP is appropriate for registrating two different point clouds. I experimeted with two differently sampled point clouds, as mentioned in issue #27, the performance drops greatly.