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This paper proposes a set of rules to revise various neural networks for 3D point cloud processing to rotation-equivariant quaternion neural networks (REQNNs).
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Chen, C., Li, G., Xu, R., Chen, T., Wang, M., Lin, L.: Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4994–5002 (2019)
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Zhang, Y., Lu, Z., Xue, J.H., Liao, Q.: A new rotation-invariant deep network for 3d object recognition. In: 2019 IEEE International Conference on Multimedia and Expo (ICME). pp. 1606–1611. IEEE (2019)
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