CloudCompare forum

Hi All,

In my PhD project, I will have about 300 children's feet 3D scanned in the near future. They will be put into 5-6 groups based on age, so about 50-60 feet in one group. I will need to align and register them by group, and create a group average mesh/pointcloud and then use statistical parametric maps to compare the groups based on the Euclidean distances between the group averages.
I have already managed to align using landmarks, and then fine register two random feet meshes and calculate cloud to mesh distance.

My questions are:
- Can registration create an average foot pointcloud? If not, any idea how I could do that?
- How would CC cope with working with 60 feet meshes or would I have to do it one at a time, then register the next one, and the next one etc?
- How do I export the cloud to cloud or cloud to mesh distances for each point/triangle, and
- is it Euclidean distance?
- as far as I know CC cant do SPM, is that correct?

Thank you for any help.

Best Regards

Matyas

- Can registration create an average foot pointcloud? If not, any idea how I could do that?
> Hum, not really?
- How would CC cope with working with 60 feet meshes or would I have to do it one at a time, then register the next one, and the next one etc?
> Yes, sadly you would have to do it one by one with the Graphical Interface. But you could automate it withe command line version
- How do I export the cloud to cloud or cloud to mesh distances for each point/triangle, and
> You can export the compared cloud (or the compared mesh vertices) as an ASCII (text) file to get the points with the distances in an easily readable form (one point + distance per line)
- is it Euclidean distance?
> Yes
- as far as I know CC cant do SPM, is that correct?
> Indeed