Abstract: This work proposes OcLe-CNN, a sparse octree-based Convolutional Neural Network (CNN) for 3D occupancy prediction. Occupancy prediction involves the inference of the occupancy probability of ...
While standard octree-based mesh methods use cubic elements and rely on mesh refinement to model topography, the present hybrid meshes use tetrahedral elements to model complicated layer interfaces ...
This algorithm by Greengard is O(n). However, it uses more complicated mathematics and is more difficult to program in 3-dimensions, and has larger constants in its order of complexity. The NESL code.