CloudCompare forum

So the Connected Components tool uses a simple 'connected components labeling algorithm' applied to a regular grid. And we simply use the cells of the cloud octree considered as a given level of subdivision to convert the cloud to a grid. The octree is a recursive subdivision of the cloud in 8 cubes...

Well, it all depends on the memory your PC have. As long as the individual scans don't contain more than 1.5billion points each, CloudCompare can normally handle them.

Bonjour, Au contraire, a priori si le nuage est assez dense, il vaudrait mieux utiliser l'outil '2.5D Volume ' ( https://www.cloudcompare.org/doc/wiki/index.php/2.5D_Volume ). Celui-ci ne marche qu'avec des nuages. Après il 'suffit' de faire la différence entre les deux nuages, selon une direction p...

See https://github.com/CloudCompare/CloudCo ... .cpp#L9095

I would guess that there's an issue with how the normals are oriented. How have you computed them?

You simply have to check the 'Visible' checkbox in the options:

Yeah, Canupo should work great. What parameters are you using? (maybe you could share a screenshot). Have you used very/too large scales maybe?

Well, I bet that sadly this is a closed proprietary format... I don't have any information about this format.

Yes, that would help a lot! Thanks.

Hum, there's a command to batch export this kind of information for point clouds... But not sub-meshes (nor meshes) sadly.

If you have C++ development skills, I bet it wouldn't be too hard to replicate for (sub)meshes.