OctNet
@inproceedings{riegler2017octnet,
title={Octnet: Learning deep 3d representations at high resolutions},
author={Riegler, Gernot and Osman Ulusoy, Ali and Geiger, Andreas},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={3577--3586},
year={2017}
}
- Use an Octree
as 3d representation
- Max depth = 3
- Have a Neural Network work with them
- Octree will use much less space as a dense voxel grid
- Convolutions on Octrees
- Neighbor lookups not trivial
No generational tasks possible, because it changes the structure of the octree (?)