Where did you get your point cloud ?
It is not unusual to get those straight lines all over the place, most of the time it’s because you kept the geographic coordinates as references and unleashed them into your average euclidean coordinate system.
I doubt it’s a sampling bug. There is a good upsampling built-in solution in CloudCompare if you want to give it a try, always worked flawlessly for me. It’s hidden in “plugins” -> “PCL wrapper” -> “Smooth using MLS”. Did you use that already for the voxel dilatation ?
I could also give a look at your cloud if you want.
As for matlab, you have to copy the files into a specific folder and then compile them with the command lines from the readme.
I also see that it says “Does not support EXR images with uint16 data or float data”.
Do you think we need 32bits depth ? From what I have seen, we will have humongous performance concerns way before the point count will exceed 16 bits capacity.
I really need to look with nvidia how we can make their GPU optimization from the tech demo works inside UE4, if possible.
As you may have understand, I work in acquisition and processing of such data (all things 3D for cultural heritage, from photogrammetry to laser scan), but my dev skills are very limited 