Hi @jeremy_tammik , the idea is to make an initial approximation, it doesn't have to be precise. it only has to be
good enough to capture most of the correct element type so I get a nice big clusters which I know should represent
something, a wall, a floor, a column, etc...
At the second phase, the user will be able to manually classify patches of points which the previous approximation
wasn't able to classify due to on-site construction diviations or scanning errors which will happen regardless.
At the third phase, the already classified clusters will be re-constructed as elements, the idea I'm exploring
is to normalize the outer boundary of each cluster to get smooth lines and curves which will represent the faces
of the objects - This is the tricky part for me, lot's of math, any chance you know a C# library to help me?
At this final phase, I will run a fine tuning algorithm which will connect walls to each other or attach them
to floors/columns depending on what the problem is in order to get a more refined result like something
you would expect from a human modeler to do.
Is there a library to help me with the outer boundary detection?