CGAL 6.1.2 - Classification: Class and Concept List

CGAL 6.1.2 - Classification

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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 |
▼N Classification |
▼N ETHZ |
C Random_forest_classifier | Classifier based on the ETH Zurich version of the random forest algorithm [2]
▼N Feature |
C Cluster_mean_of_feature | Feature that computes the mean values of an itemwise feature over the respective items of clusters
C Cluster_size | Feature that returns the size of each cluster
C Cluster_variance_of_feature | Feature that computes the variance values of an itemwise feature over the respective items of clusters
C Cluster_vertical_extent | Feature that returns the length of the smallest interval on the `Z` axis that contains all the items of a cluster
C Color_channel | Feature based on HSV colorimetric information
C Distance_to_plane | Feature based on local distance to a fitted plane
C Echo_scatter | Feature based on echo scatter
C Eigenvalue | Feature based on the eigenvalues of the covariance matrix of a local neighborhood
C Elevation | Feature based on local elevation
C Height_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
C Height_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
C Simple_feature | Feature based on a user-defined scalar field
C Vertical_dispersion | Feature based on local vertical dispersion of points
C Vertical_range | Feature based on local height distribution
C Verticality | Feature based on local verticality
▼N OpenCV |
C Random_forest_classifier | Classifier based on the OpenCV version of the random forest algorithm
C Classifier | Concept describing a classifier used by classification functions (see `CGAL::Classification::classify()`, `CGAL::Classification::classify_with_local_smoothing()` and `CGAL::Classification::classify_with_graphcut()`)
C Cluster | Class that represent a cluster of items to be classified as a single atomic object
C Evaluation | Class to compute several measurements to evaluate the quality of a classification output
C Face_descriptor_to_center_of_mass_map | Property map that constructs the center of mass of the face of a mesh on-the-fly
▼C Face_descriptor_to_face_descriptor_with_bbox_map | Property map that constructs a face descriptor with a `bbox()` method from a face descriptor
C face_descriptor_with_bbox | Face descriptor with a precomputed bounding box
C Feature_base | Abstract class describing a classification feature that associates a scalar value to each item of the classification input
C Feature_handle | Handle to a `Feature_base`
C Feature_set | Sets of features (see `Feature_base`) used as input by classification algorithms
C Label | Classification label (for example: vegetation, ground, etc.)
C Label_handle | Handle to a classification `Label`
C Label_set | Sets of `Label` used as input by classification algorithms
C Local_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
C Mesh_feature_generator | Generates a set of generic features for surface mesh classification
▼C Mesh_neighborhood | Class that generates models of `NeighborQuery` based on an input mesh
C N_ring_neighbor_query | Functor that computes the N-ring neighborhood of the face of an input mesh
C One_ring_neighbor_query | Functor that computes the 1-ring neighborhood of the face of an input mesh
C NeighborQuery | Concept describing a neighbor query used for classification
C Planimetric_grid | Class that precomputes a 2D planimetric grid
C Point_set_feature_generator | Generates a set of generic features for point set classification
▼C Point_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
C K_neighbor_query | Functor that computes the neighborhood of an input point with a fixed number of neighbors
C Sphere_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
C Sum_of_weighted_features_classifier | Classifier based on the sum of weighted features with user-defined effects on labels