In 3D computer vision and geometric deep learning, I have come across the term “sphere matrix” (or spherical component) of a tensor.

Could anyone clarify:

I am exploring whether using spherical tensor representations could improve robustness and invariance in 3D vision pipelines (point cloud, mesh, or voxel-based).