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Hi!
I am currently working with point cloud pose regression and classification and I implemented PointNet as the basis for my architecture.
My question is: why use 2D convolutions instead of 1D convolutions? What are the reasons and advantages for that approach?
Thanks in advance!
The text was updated successfully, but these errors were encountered:
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Hi!
I am currently working with point cloud pose regression and classification and I implemented PointNet as the basis for my architecture.
My question is: why use 2D convolutions instead of 1D convolutions? What are the reasons and advantages for that approach?
Thanks in advance!
The text was updated successfully, but these errors were encountered: