2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
NeurIPS 2020poster
We propose a local-to-global representation learning algorithm for 3D point cloud data, which is appropriate to handle various geometric transformations, especially rotation, without explicit data augmentation with respect to the transformations. Our model takes advantage of multi-level abstraction…