CloudCompare forum

And it is WAY faster!!
Between 3.5x and 121x (!!) faster from the original version (using the same parameters than for the previous comparison)
Really great!

Great to read this! Let us know when you're done for some more testing ;)

Yes I am, but on a parsed terrestrial cloud, the cloud I sent Daniel is just under 1 million points, it actually works pretty correctly. I totally get the *4 factor when I'm changing the size of the cloth resolution. What I was pointing was the difference between the two versions of the plug in, whi...

Yup, my mail failed and I didn't realized before this morning, it should be now in you inbox at 'cloudcompare@danielgm.net' but I send it on your other email adress ;)

Exactly what I noticed too. I'm looking for a way to upload the point cloud and send it to you ;)

EDIT: Done by email!

Here is a little table for comparison between the latest release AND the experimental version I found and posted on the forum ---------------------------------------------------------------------------------------------------------------------- | Parameters | Experimental version(min:sec) | Latest R...

Downloaded the last version and I find it pretty slow compared to the development version I found previously. If it is possible, I'd like to see a new option to the plug in: right now, after you used it, the plug in creates 2 differents files so I have to manually add a new SF as "class", ...

Interesting plug in, except that it regularly crashes. I guess it's a development version, so it's ok :)

kachlica, a modified version of CC with trhe plug in exists already, you can find it here:

ramm.bnu.edu.cn/program/CCwithCSF.zip

Have fun with it

I was thinking about (for the building of the classifiers) - road/building+vegetation (as you cannot split high and low only with classifier) - building/road+vegetation - vegetation/building+road Then you determine the best order to apply (of there is one, by testing) and you apply the first classif...

You should cut parts in your point clouds of each class then build one classifier by using the part of the cloud corresponding to your class (road) AND the merge of all others parts (vegetation+building for example) and do this for each class(ifier) you need. Then you can add the whole cloud as a re...