Class and Concept List

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
▼NFeature
CAnisotropy	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CDistance_to_plane	Feature based on local distance to a fitted plane
CEcho_scatter	Feature based on echo scatter
CEigentropy	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CElevation	Feature based on local elevation
CHsv	Feature based on HSV colorimetric information
CLinearity	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
COmnivariance	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CPlanarity	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CSimple_feature	Feature based on a user-defined scalar field
CSphericity	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CSum_eigenvalues	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CSurface_variation	Feature based on the eigenvalues of the covariance matrix of a local neighborhood
CVertical_dispersion	Feature based on local vertical dispersion of points
CVerticality	Feature based on local verticality
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())
CETHZ_random_forest_classifier	Classifier based on the ETH Zurich version of random forest algorithm [2]
CEvaluation	Class to compute several measurements to evaluate the quality of a classification output
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	Set of features (see Feature_base) used as input by classification algorithms
CLabel	Classification label (for example: vegetation, ground, etc.) defined as a set of relationships with classification features
CLabel_handle	Handle to a classification Label
CLabel_set	Set 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
CNeighborQuery	Concept describing a neighbor query used for classification
COpenCV_random_forest_classifier	Classifier based on the OpenCV version of random forest algorithm
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