Point clouds produced by either 3D scanners or multi-view images are often imperfect and contain noise outliers. This paper presents an end-to-end robust spherical harmonics approach to classifying objects. The proposed framework first uses the voxel grid of concentric spheres learn features over unit ball. We then limit order level suppress effect In addition, entire classification operation i...
