CGAL::Classification Namespace Reference

Namespaces
namespace	ETHZ
namespace	Feature
namespace	OpenCV

Classes
class	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()). More...
class	Cluster
	Class that represent a cluster of items to be classified as a single atomic object. More...
class	Evaluation
	Class to compute several measurements to evaluate the quality of a classification output. More...
class	Face_descriptor_to_center_of_mass_map
	Property map that constructs the center of mass of the face of a mesh on-the-fly. More...
class	Face_descriptor_to_face_descriptor_with_bbox_map
	Property map that constructs a face descriptor with a bbox() method from a face descriptor. More...
class	Feature_base
	Abstract class describing a classification feature that associates a scalar value to each item of the classification input. More...
class	Feature_handle
	Handle to a Feature_base. More...
class	Feature_set
	sets of features (see Feature_base) used as input by classification algorithms. More...
class	Label
	Classification label (for example: vegetation, ground, etc.). More...
class	Label_handle
	Handle to a classification Label. More...
class	Label_set
	sets of Label used as input by classification algorithms. More...
class	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. More...
class	Mesh_feature_generator
	generates a set of generic features for surface mesh classification. More...
class	Mesh_neighborhood
	Class that generates models of NeighborQuery based on an input mesh. More...
class	NeighborQuery
	Concept describing a neighbor query used for classification. More...
class	Planimetric_grid
	Class that precomputes a 2D planimetric grid. More...
class	Point_set_feature_generator
	generates a set of generic features for point set classification. More...
class	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. More...
class	Sum_of_weighted_features_classifier
	Classifier based on the sum of weighted features with user-defined effects on labels. More...

Functions
template<typename ItemRange , typename ItemMap , typename IndexMap >
std::size_t	create_clusters_from_indices (const ItemRange &range, ItemMap item_map, IndexMap index_map, std::vector< Cluster< ItemRange, ItemMap > > &clusters)
	Given a set of cluster indices, segments the input range into Cluster objects.
template<typename FeatureType >
FeatureType *	feature_cast (Feature_handle fh)
	casts a feature handle to a specialized feature pointer.
template<typename ConcurrencyTag , typename ItemRange , typename Classifier , typename LabelIndexRange >
void	classify (const ItemRange &input, const Label_set &labels, const Classifier &classifier, LabelIndexRange &output)
	runs the classification algorithm without any regularization.
template<typename ConcurrencyTag , typename ItemRange , typename ItemMap , typename NeighborQuery , typename Classifier , typename LabelIndexRange >
void	classify_with_local_smoothing (const ItemRange &input, const ItemMap item_map, const Label_set &labels, const Classifier &classifier, const NeighborQuery &neighbor_query, LabelIndexRange &output)
	runs the classification algorithm with a local smoothing.
template<typename ConcurrencyTag , typename ItemRange , typename ItemMap , typename NeighborQuery , typename Classifier , typename LabelIndexRange >
void	classify_with_graphcut (const ItemRange &input, const ItemMap item_map, const Label_set &labels, const Classifier &classifier, const NeighborQuery &neighbor_query, const float strength, const std::size_t min_number_of_subdivisions, LabelIndexRange &output)
	runs the classification algorithm with a global regularization based on a graph cut.