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WangYueFt / dcp

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Question about point cloud sampling strategy #8

Closed ziruiw-dev closed 4 years ago

ziruiw-dev commented 4 years ago

Hi Yue,

Many thanks for the great work. I have a question about the point cloud sampling strategy in your code. If I understand your code correctly, the point cloud sampling is done before creating ground truth, does that mean the point cloud X and point cloud Y have a 1-to-1 correspondence? i.e. if a perfect R and t are computed, X and Y will have an exact alignment?

More specifically, say we have a point cloud before sampling A, from what I understanding, you sample it to get B, and transform B to C using a ground truth transformation T and you train it with B, C, and T.

I was wondering have you ever done any experiment that adding ground truth transformation before sampling and how does the NN perform? That means apply ground truth transformation T over A to have D, sample A to have E, sample D to have F and train the NN with E, F, and T.

Best, Zirui

WangYueFt commented 4 years ago

Hi Zirui,

Thanks for pointing it out. It's a great question.

Your understanding is correct: in the current setup, the two point clouds have 1-to-1 correspondence. We have an ongoing project testing how it works in the case you suggested.

Best, Yue

ziruiw-dev commented 4 years ago

Hi Yue,

Thanks a lot for your prompt reply and looking forward to your future work. Btw, hope you don't mind me asking, is this paper accepted by any conference so I can cite it in my current work? or I should just use the Arxiv version?

Best, Zirui