Here is the list of all concepts and classes of this package. Classes are inside the namespace CGAL. Concepts are in the global namespace.

[detail level 1234]

▼NCGAL
▼NClassification
▼NETHZ
CRandom_forest_classifier	Classifier based on the ETH Zurich version of the random forest algorithm [2]
▼NFeature
CCluster_mean_of_feature	Feature that computes the mean values of an itemwise feature over the respective items of clusters
CCluster_size	Feature that returns the size of each cluster
CCluster_variance_of_feature	Feature that computes the variance values of an itemwise feature over the respective items of clusters
CCluster_vertical_extent	Feature that returns the length of the smallest interval on the `Z` axis that contains all the items of a cluster
CColor_channel	Feature based on HSV colorimetric information
CDistance_to_plane	Feature based on local distance to a fitted plane
CEcho_scatter	Feature based on echo scatter
CEigenvalue	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CElevation	Feature based on local elevation
CHeight_above	Feature based on local height distribution This feature computes the distance between the maximum height on the local cell of the planimetric grid and a point's height
CHeight_below	Feature based on local height distribution This feature computes the distance between a point's height and the minimum height on the local cell of the planimetric grid
CSimple_feature	Feature based on a user-defined scalar field
CVertical_dispersion	Feature based on local vertical dispersion of points
CVertical_range	Feature based on local height distribution
CVerticality	Feature based on local verticality
▼NOpenCV
CRandom_forest_classifier	Classifier based on the OpenCV version of the random forest algorithm
CClassifier	Concept describing a classifier used by classification functions (see `CGAL::Classification::classify()`, `CGAL::Classification::classify_with_local_smoothing()` and `CGAL::Classification::classify_with_graphcut()`)
CCluster	Class that represent a cluster of items to be classified as a single atomic object
CEvaluation	Class to compute several measurements to evaluate the quality of a classification output
CFace_descriptor_to_center_of_mass_map	Property map that constructs the center of mass of the face of a mesh on-the-fly
▼CFace_descriptor_to_face_descriptor_with_bbox_map	Property map that constructs a face descriptor with a `bbox()` method from a face descriptor
Cface_descriptor_with_bbox	Face descriptor with a precomputed bounding box
CFeature_base	Abstract class describing a classification feature that associates a scalar value to each item of the classification input
CFeature_handle	Handle to a `Feature_base`
CFeature_set	Sets of features (see `Feature_base`) used as input by classification algorithms
CLabel	Classification label (for example: vegetation, ground, etc.)
CLabel_handle	Handle to a classification `Label`
CLabel_set	Sets of `Label` used as input by classification algorithms
CLocal_eigen_analysis	Class that precomputes and stores the eigenvectors and eigenvalues of the covariance matrices of all points of a point set using a local neighborhood
CMesh_feature_generator	Generates a set of generic features for surface mesh classification
▼CMesh_neighborhood	Class that generates models of `NeighborQuery` based on an input mesh
CN_ring_neighbor_query	Functor that computes the N-ring neighborhood of the face of an input mesh
COne_ring_neighbor_query	Functor that computes the 1-ring neighborhood of the face of an input mesh
CNeighborQuery	Concept describing a neighbor query used for classification
CPlanimetric_grid	Class that precomputes a 2D planimetric grid
CPoint_set_feature_generator	Generates a set of generic features for point set classification
▼CPoint_set_neighborhood	Class that precomputes spatial searching structures for an input point set and gives access to the local neighborhood of a point as a set of indices
CK_neighbor_query	Functor that computes the neighborhood of an input point with a fixed number of neighbors
CSphere_neighbor_query	Functor that computes the neighborhood of an input point defined as the points lying in a sphere of fixed radius centered at the input point
CSum_of_weighted_features_classifier	Classifier based on the sum of weighted features with user-defined effects on labels