CGAL 5.2 - Classification
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#include <CGAL/Classification/Feature/Distance_to_plane.h>
CGAL::Classification::Feature_base.
Feature based on local distance to a fitted plane.
Characterizing a level of non-planarity can help to identify noisy parts of the input such as vegetation. This feature computes the distance of a point to a locally fitted plane.
Its default name is "distance_to_plane".
PointRange | model of ConstRange . Its iterator type is RandomAccessIterator and its value type is the key type of PointMap . |
PointMap | model of ReadablePropertyMap whose key type is the value type of the iterator of PointRange and value type is CGAL::Point_3 . |
Public Member Functions | |
Distance_to_plane (const PointRange &input, PointMap point_map, const Local_eigen_analysis &eigen) | |
constructs the feature. More... | |
Public Member Functions inherited from CGAL::Classification::Feature_base | |
const std::string & | name () const |
returns the name of the feature (initialized to abstract_feature for Feature_base ). | |
void | set_name (const std::string &name) |
changes the name of the feature. | |
virtual float | value (std::size_t index)=0 |
returns the value taken by the feature for at the item for the item at position index . More... | |
CGAL::Classification::Feature::Distance_to_plane< PointRange, PointMap >::Distance_to_plane | ( | const PointRange & | input, |
PointMap | point_map, | ||
const Local_eigen_analysis & | eigen | ||
) |
constructs the feature.
input | point range. |
point_map | property map to access the input points. |
eigen | class with precomputed eigenvectors and eigenvalues. |