filters.sample¶
The practice of performing Poisson sampling via “Dart Throwing” was introduced in the mid-1980’s by [Cook1986] and [Dippe1985], and has been applied to point clouds in other software [Mesh2009].
The sample filter performs Poisson sampling of the input PointView. The
sampling can be performed in a single pass through the point cloud. To begin,
each input point is assumed to be kept. As we iterate through the kept points,
we retrieve all neighbors within a given radius, and mark these neighbors as
points to be discarded. All remaining kept points are appended to the output
PointView. The full layout (i.e., the dimensions) of the input PointView
is kept in tact (the same cannot be said for filters.voxelgrid).
See also
filters.decimation and filters.voxelgrid also perform decimation.
Options¶
- radius
- Minimum distance between samples. [Default: 1.0]