I did clustering from the point cloud data and used getminmax3D() to find
the min and max points. But i am getting results which does not make sense.
I have attached an image with the green line representing the line betweeb
the min and max points. I doubt I didn't understand this properly. Please
let me know what might be the mistake in my understanding.
One important thing about the getminmax3D() is that the resultant two points
(min and max) are not two actual points in the input point cloud. For
example, the x, y, z components of the min point is most likely to come from
3 separate points in the point cloud. Same goes for the max point.
The minmax3D function is not known to have any bugs, it works perfectly.