text: A Difference of Normals (DoN) scale filter implementation for point cloud data. More...
  #include <pcl/features/don.h>
  A Difference of Normals (DoN) scale filter implementation for point cloud data.
  For each point in the point cloud two normals estimated with a differing search radius (sigma_s, sigma_l) are subtracted, the difference of these normals provides a scale-based feature which can be further used to filter the point cloud, somewhat like the Difference of Guassians in image processing, but instead on surfaces. Best results are had when the two search radii are related as sigma_l=10*sigma_s, the octaves between the two search radii can be though of as a filter bandwidth. For appropriate values and thresholds it can be used for surface edge extraction.
  Definition at line 68 of file don.h.
  Creates a new Difference of Normals filter.
  Definition at line 84 of file don.h.
  References pcl::Feature< PointInT, PointOutT >::feature_name_.
  Computes the DoN vector for each point in the input point cloud and outputs the vector cloud to the given output.
  Implements pcl::Feature< PointInT, PointOutT >.
  Definition at line 85 of file don.hpp.
  References pcl::PointCloud< T >::points.
  Initialize for computation of features.
  Reimplemented from pcl::Feature< PointInT, PointOutT >.
  Definition at line 44 of file don.hpp.