📄️ ApproximateVoxelGrid
ApproximateVoxelGrid assembles a local 3D grid over a given PointCloud, and downsamples + filters the data.
📄️ GridMinimum
https://pointclouds.org/documentation/classpcl11gridminimum.html
📄️ LocalMaximum
https://pointclouds.org/documentation/classpcl11localmaximum.html
📄️ PassThrough
https://pointclouds.org/documentation/classpcl11passthrough.html
📄️ RadiusOutlierRemoval
https://pointclouds.org/documentation/classpcl11radiusoutlier_removal.html
📄️ RandomSample
https://pointclouds.org/documentation/classpcl11randomsample.html
📄️ removeNaNFromPointCloud
Removes points with x, y, or z equal to NaN.
📄️ removeNaNNormalsFromPointCloud
Removes points that have their normals invalid (i.e., equal to NaN).
📄️ StatisticalOutlierRemoval
https://pointclouds.org/documentation/classpcl11statisticaloutlier_removal.html
📄️ UniformSampling
https://pointclouds.org/documentation/classpcl11uniformsampling.html
📄️ VoxelGrid
https://pointclouds.org/documentation/classpcl11voxelgrid.html