Issues w/M3C2

[daniel]

It really depends on your data (its density, etc.), and of course of the scale of the 'features' you are monitoring.

In your specific case, I would say a scale of 0.05 and a max depth of 0.5 (i.e. something bigger than the box ;). For the normals, I would compute them before hand (with the 'Normals > Compute' tool).

EDIT: you can get very clean normals by using 0.05 as the 'kernel' for normals computation, and -X as preferred direction.

[ilovecoffee1125]

Daniel,

The issue with M3C2 giving me the "CloudCompare has stopped working" error when selecting the guess parameters button is occurring again. It was working about 10 minutes ago and now I cannot get that option to function for me. I am using a very small data set with only a few hundred points so I do not understand why this keeps happening.

Thank you,
CS

[daniel]

This is still a mystery for me as well... I guess you'll have to input the parameters yourself sadly.