CGAL 5.6.1 - Classification
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
 NETHZ
 CRandom_forest_classifierClassifier based on the ETH Zurich version of the random forest algorithm [2]
 NFeature
 CCluster_mean_of_featureFeature that computes the mean values of an itemwise feature over the respective items of clusters
 CCluster_sizeFeature that returns the size of each cluster
 CCluster_variance_of_featureFeature that computes the variance values of an itemwise feature over the respective items of clusters
 CCluster_vertical_extentFeature that returns the length of the smallest interval on the Z axis that contains all the items of a cluster
 CColor_channelFeature based on HSV colorimetric information
 CDistance_to_planeFeature based on local distance to a fitted plane
 CEcho_scatterFeature based on echo scatter
 CEigenvalueFeature based on the eigenvalues of the covariance matrix of a local neighborhood
 CElevationFeature based on local elevation
 CHeight_aboveFeature 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_belowFeature 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_featureFeature based on a user-defined scalar field
 CVertical_dispersionFeature based on local vertical dispersion of points
 CVertical_rangeFeature based on local height distribution
 CVerticalityFeature based on local verticality
 NOpenCV
 CRandom_forest_classifierClassifier based on the OpenCV version of the random forest algorithm
 CClassifierConcept describing a classifier used by classification functions (see CGAL::Classification::classify(), CGAL::Classification::classify_with_local_smoothing() and CGAL::Classification::classify_with_graphcut())
 CClusterClass that represent a cluster of items to be classified as a single atomic object
 CEvaluationClass to compute several measurements to evaluate the quality of a classification output
 CFace_descriptor_to_center_of_mass_mapProperty map that constructs the center of mass of the face of a mesh on-the-fly
 CFace_descriptor_to_face_descriptor_with_bbox_mapProperty map that constructs a face descriptor with a bbox() method from a face descriptor
 Cface_descriptor_with_bboxFace descriptor with a precomputed bounding box
 CFeature_baseAbstract class describing a classification feature that associates a scalar value to each item of the classification input
 CFeature_handleHandle to a Feature_base
 CFeature_setSets of features (see Feature_base) used as input by classification algorithms
 CLabelClassification label (for example: vegetation, ground, etc.)
 CLabel_handleHandle to a classification Label
 CLabel_setSets of Label used as input by classification algorithms
 CLocal_eigen_analysisClass 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_generatorGenerates a set of generic features for surface mesh classification
 CMesh_neighborhoodClass that generates models of NeighborQuery based on an input mesh
 CN_ring_neighbor_queryFunctor that computes the N-ring neighborhood of the face of an input mesh
 COne_ring_neighbor_queryFunctor that computes the 1-ring neighborhood of the face of an input mesh
 CNeighborQueryConcept describing a neighbor query used for classification
 CPlanimetric_gridClass that precomputes a 2D planimetric grid
 CPoint_set_feature_generatorGenerates a set of generic features for point set classification
 CPoint_set_neighborhoodClass 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_queryFunctor that computes the neighborhood of an input point with a fixed number of neighbors
 CSphere_neighbor_queryFunctor 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_classifierClassifier based on the sum of weighted features with user-defined effects on labels