point cloud reconstruction example

[jdily]

Hey @hjwdzh ,
Thanks for sharing your great work.
I am wondering if you provide the examples of reconstruction from range scan (and processed into a point cloud) as shown in Fig. 13 in your paper.

thx a lot.

[hjwdzh]

Thanks for the suggestion! Let me try to update this feature in one week.

[jdily]

Thanks for the help :)
I think the result shown in the paper looks really promising, and it would be really helpful if we can run that reconstruction and do some comparison :)

[hjwdzh]

A fundamental way is to change several things in the code including voxel-point intersection and nearest neighbor selection, which could take a while. However, there is an easy way to work around with the current code, which is what I did in my experiment:

First, I use CGAL's jet_estimate_normals to compute point normals. Then, for each point I create a very small triangle (consistent with the estimated normal), setting the point as the center. And now we convert N points to a triangle soup with N triangles and we can run our algorithm.

[jdily]

the workaround seems nice, I will give it a try!
Thx for the update will let you know if I have more questions :)