CGAL 6.1.2 - Classification: CGAL::Classification Namespace Reference

CGAL 6.1.2 - Classification

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Namespaces | Classes | Functions
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.