Feature/point cloud utils

[DamienGilliard]

This PR concerns the addition of point cloud utilities to diffCheck: cropping, substraction (one PC - other PC by comparing the distances of their points using KDSearch)

Cropping:

This component crops a point cloud based on a bbox or boundary values (set a minimum value for z coordinate, for example

Using bbox:

Using boundary to coordinates:

Subtracting

This component removes points from a point cloud when they are too close to another point cloud

In the image hereunder, the blue point cloud is the one we subtract from, in red the one we subtract with, and in green the resulting point cloud:

[DamienGilliard]

• Use 3D domain instead of individual boundaries

[DamienGilliard]

• Use 3D domain instead of individual boundaries

I did not find 3D domain, but I think that by providing the possibility to give individual boundary coordinates, I am solving a problem that does not exist and no one asked for it, so I have remove it !

[DamienGilliard]

• For point clouds, get all 3 boolean operations: intersect, union, difference. But no volume, so how do you define the boolean velues, only by distance ? TBD
• for cropping, have one case if a box is given and use o3d, or if any brep given, other case with .IsPointInside method of Rhino.Geometry
• for Cropping, output the points IN and Out separately