CloudCompare forum

For the record, I did manage to make a working python plugin script to do this. Code could probably be better, but at least this works:

import pycc
import numpy as np
from scipy.spatial import KDTree

def min_smoothing(radius=0.005):
'''
Creates a new scalar field from the currently displayed ...

Hi all,

When interpolating a scalar field from one cloud onto another, is there a way to use the minimum of the n nearest points instead of mean? Or maybe mean minus 2 or 3 standard deviations?

Alternatively, is there a way to apply a filter (similar to Gaussian or bilateral) to a scalar field ...

OK, thanks. Indeed, the errors are quite small. It's good to know that I've not been doing something wrong.

Hi,

I'm importing a point cloud from a text file that I generated myself. The points lie on a perfect cylinder with its axis aligned with the global Y-axis. As such, if I understand things correctly, all points should have a normal with a zero y-component. This shows the Ascii file import window ...