Open cmosig opened 1 year ago
Same question. Looking forward to reply.
Copying from my notes from back then:
PoissonRecon supports returning a so-called density per surface. The density is the [octree] depth to which the respective vertex would be assigned given the point density of the input pointcloud at that location. A small density implies that the surface was constructed with few or no points, whereas a large density implies more evidence.
If I recall correctly, what this depth means is dependent on the spatial dimensions of the input pointcloud.
Checklist
master
branch).My Question
The tutorial on poisson surface reconstruction states the following about the returned vertex densities:
"The
create_from_point_cloud_poisson
function has a second densities return value that indicates for each vertex the density. A low density value means that the vertex is only supported by a low number of points from the input point cloud."This gives a good intuition for the density values, but does not answer all my questions:
(1) How is density precisely defined / how is it computed? (2) Is the density value deterministic? (3) Is the density value comparable between multiple similarly dense pointclouds? E.g. if I have one pointcloud and split it in half, do I get the same density values for each triangle vertex as when I run the function for the whole pointcloud? (4) Does it represent some exact number like 4 points from the input pointcloud formed this vertex?
The original code mentions the
--density
flag: "Enabling this flag tells the reconstructor to output the estimated depth values of the iso-surface vertices." Is that the density value that the open3d function returns?The function docs unfortunately don't mention anything about the density value.