CGAL::Classification Namespace Reference

Namespaces
	Feature

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	ETHZ_random_forest_classifier
	Classifier based on the ETH Zurich version of random forest algorithm [2]. More...
class	Evaluation
	Class to compute several measurements to evaluate the quality of a classification output. 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
	Set of features (see Feature_base) used as input by classification algorithms. More...
class	Label
	Classification label (for example: vegetation, ground, etc.) defined as a set of relationships with classification features. More...
class	Label_handle
	Handle to a classification Label. More...
class	Label_set
	Set 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	NeighborQuery
	Concept describing a neighbor query used for classification. More...
class	OpenCV_random_forest_classifier
	Classifier based on the OpenCV version of random forest algorithm. 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...

Typedefs
typedef CGAL::cpp11::array< unsigned char, 3 >	RGB_Color
	Color described in red/green/blue space. More...
typedef CGAL::cpp11::array< float, 3 >	HSV_Color
	Color described in hue/saturation/value space. More...

Functions
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. More...
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. More...
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. More...

Typedef Documentation

HSV_Color

typedef CGAL::cpp11::array<float, 3> CGAL::Classification::HSV_Color

Color described in hue/saturation/value space.

Each component is stored as a float:

• hue ranges from 0° to 360° (corresponding to the color tint)
• saturation ranges from 0.0 (gray) to 100.0 (full saturation)
• value ranges from 0.0 (black) to 100.0 (white)

RGB_Color

typedef CGAL::cpp11::array<unsigned char, 3> CGAL::Classification::RGB_Color

Color described in red/green/blue space.

Each component is stored as an unsigned char ranging from 0 (no color) to 255 (full color).