CGAL users discussion list

[williamlai3a <>]

Hi,

I am excited to test out the new classification concept, especially the mesh
classifier.
However, I have some doubts on the entire classification process:
1. Is training dataset a MUST?
2. From my understanding, we only needa label one region per label in the
dataset (just like the example data given). What if my class has more
variation in terms of shapes? Shall I give more regions labelled in the
training dataset?
2.1 Would colored point cloud benefit for both training and classification?
3. Are there any good recommendation software for preparing the .ply
training data? So I can select and label, then export the property as label
included in the .ply? (I googled and cannot find any useful one).
4. From the given example data, it seems that the points / surfaces are
spatially disconnected quite sharply. Would the classifier be still working
well if I have a possion reconstructed surface which is fully connected? 

Thanks!
William



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