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CGAL 6.0 - Classification
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| ▼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 |