3D and 2D Filters.
A `Dimension-wise` to filter with `Upper-Bound` and `Lower-Bound`
Eg: x: -10 ~ 10, y: ~= 0, Z: 20 ~.
Target `Dimension` to filter with `Upper-Bound` and `Lower-Bound`
Filter Numbers of point in radius.
Compute k-neighbors of all points, then compute mean and variance filter out mean +- multiply * std
Build a `Dimension-wise` grid, compute mean of points per grid.