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WangYueFt / dcp

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DCP for two different point clouds #23

Open vma1996 opened 4 years ago

vma1996 commented 4 years ago

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 commented 4 years ago

I have same problem, have you solved it ?

vp79247 commented 3 years ago

I have same problem can anyone please help me?

Yjzzzzzz commented 2 years ago

I have same problem

abc-def-g commented 1 year ago

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.