CGAL 4.12.2 - Classification
|
▼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 |