houfei0801 / ipsr Goto Github PK

Hi
Thank you so much for this repo.
I am trying this repo on my project.
I am trying to give input as 3d point cloud with default command:
./ipsr --in data/my_pointcloud.ply --out output/output.ply

I tried changing depth, neighbors, iters but not good result.
Most of the time normals variations are going upto 1.7 even for 30 iterations
Its outputting like a dome on the top.

I tried with few datasets and all have similar dome. I even tried to increase iterations to 100 but still dome is there.

Do you know what am I doing wrong.

My input 3d point cloud header information:

ply
format binary_little_endian 1.0
element vertex 6961132 (just an example)
property float x
property float y
property float z

Output header is:

ply
format ascii 1.0
element vertex 747677
property float x
property float y
property float z
element face 1494050

Thank you in advance.

The code calls the sample_points function in PoissonRecon.inl. What purpose does that sample_points function achieve?

I am trying to reconstruct a 3d point cloud with ipsr

ipsr --in pointcloud.ply --out output.ply

but the output mesh has many holes, like this:

I'm wondering if I've set the wrong parameter or if this type of point cloud can't be supported.

What are the parameters for the below reconstruction?

And can i get the point cloud used for it. I want to reproduce your results.