CloudCompare forum

Not really...

You can definitely set the camera to look from the top (with orthographic projection), and you'll still see the colors and optionally the color scale to the right... but not in a fancy way like your example.

Oh, that was a good call: this was actually missing in the documentation, but you can use the -RESAMPLE sub-option (I've updated the wiki).

You have to enable the QCORE_IO_PLUGIN project (CMake option PLUGIN_IO_QCORE).

So the 'Visible' option (and all color scale options as well) are in the cloud properties (on the left side, below the DB tree, once a cloud is highlighted. And you can create an absolute color scale, with labels, etc. with the 'Color scales manager' : https://www.cloudcompare.org/doc/wiki/index.php...

The cloud looks a bit 'rough' and inaccurate from what I can see? Have you tried to segment it with the 'scissors' tool maybe ( https://www.cloudcompare.org/doc/wiki/index.php/Interactive_Segmentation_Tool ) or the Cross Section tool? ( https://www.cloudcompare.org/doc/wiki/index.php/Cross_Section )...

Yes, that's it. And for the 'volume density' we simply divide the number of points by the volume of the sphere (while for the 'surface' density, we divide it by the surface of the equivalent circle).

It is not clear to me what the problem is exactly, but I would guess that there's one point that has a totally different distance from the rest. This make me thing about a 'limitation' of the C2M that was fixed recently in version 2.13.1 version. Can you test with this new version and report here if...

Voici ce dont on a discuté par email (pour continuer le fil ici): Quelques commentaires : - si c'est plus simple, ou si le trou n'est pas rectangulaire, vous pouvez aussi utiliser l'outil 'ciseaux' (Edit > Segment) qui permet de découper selon un contour - utiliser un mesh (OBJ) aurait l'avantage d'...

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.