mirror of https://github.com/CGAL/cgal
156 lines
5.7 KiB
Plaintext
156 lines
5.7 KiB
Plaintext
/// \defgroup PkgClassificationRef Classification Reference
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/*!
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\defgroup PkgClassificationConcepts Concepts
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\ingroup PkgClassificationRef
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\defgroup PkgClassificationMain Main Functions
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\ingroup PkgClassificationRef
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Functions that perform classification based on a set of labels and a classifier, with or without regularization.
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\defgroup PkgClassificationClassifiers Classifiers
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\ingroup PkgClassificationRef
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Classifiers are functors that, given a label set and an input item, associate this input item with an energy for each label. This energy measures the likelihood of the item to belong to this label.
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\defgroup PkgClassificationClassifiersETHZ ETHZ
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\ingroup PkgClassificationClassifiers
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Classifiers that use the ETHZ library.
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\defgroup PkgClassificationClassifiersOpenCV OpenCV
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\ingroup PkgClassificationClassifiers
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Classifiers that use the \ref thirdpartyOpenCV library.
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\defgroup PkgClassificationDataStructures Common Data Structures
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\ingroup PkgClassificationRef
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Useful data structures that are used to compute features (computation of eigenvalues, for example).
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\defgroup PkgClassificationLabel Label
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\ingroup PkgClassificationRef
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A label represents how an item should be classified, for example: _vegetation_, _building_, _road_, etc.
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\defgroup PkgClassificationFeature Feature
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\ingroup PkgClassificationRef
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Features are defined as scalar fields that associates each input item with a specific value.
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\defgroup PkgClassificationFeatures Predefined Features
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\ingroup PkgClassificationRef
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\cgal provides some predefined features that are relevant for classification of point sets.
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\defgroup PkgClassificationPointSet Point Set Classification
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\ingroup PkgClassificationRef
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Data structures specialized to classify point sets.
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\defgroup PkgClassificationMesh Mesh Classification
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\ingroup PkgClassificationRef
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Data structures specialized to classify surface meshes.
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\defgroup PkgClassificationCluster Cluster Classification
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\ingroup PkgClassificationRef
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Data structures specialized to classify clusters.
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\addtogroup PkgClassificationRef
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\cgalPkgDescriptionBegin{Classification, PkgClassification}
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\cgalPkgPicture{data_classif.png}
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\cgalPkgSummaryBegin
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\cgalPkgAuthors{Simon Giraudot and Florent Lafarge}
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\cgalPkgDesc{This component implements an algorithm that classifies a data set into a user-defined set of labels (such as ground, vegetation, buildings, etc.). A flexible API is provided so that users can classify any type of data, compute their own local features on the input data set, and define their own labels.}
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\cgalPkgManuals{Chapter_Classification, PkgClassificationRef}
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\cgalPkgSummaryEnd
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\cgalPkgShortInfoBegin
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\cgalPkgSince{4.12}
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\cgalPkgDependsOn{\ref PkgSolverInterface, \ref PkgSpatialSearchingD}
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\cgalPkgBib{cgal:lm-clscm-12}
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\cgalPkgLicense{\ref licensesGPL "GPL"}
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\cgalPkgDemo{CGAL Lab,CGALlab.zip}
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\cgalPkgShortInfoEnd
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\cgalPkgDescriptionEnd
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\cgalClassifedRefPages
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\cgalCRPSection{Concepts}
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- `CGAL::Classification::Classifier`
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- `CGAL::Classification::NeighborQuery`
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\cgalCRPSection{Main Functions}
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- `CGAL::Classification::classify()`
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- `CGAL::Classification::classify_with_local_smoothing()`
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- `CGAL::Classification::classify_with_graphcut()`
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\cgalCRPSection{Classifiers}
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- `CGAL::Classification::ETHZ::Random_forest_classifier`
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- `CGAL::Classification::OpenCV::Random_forest_classifier`
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- `CGAL::Classification::Sum_of_weighted_features_classifier`
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\cgalCRPSection{Common Data Structures}
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- `CGAL::Classification::Local_eigen_analysis`
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- `CGAL::Classification::Planimetric_grid<GeomTraits, PointRange, PointMap>`
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- `CGAL::Classification::Evaluation`
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\cgalCRPSection{Label}
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- `CGAL::Classification::Label`
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- `CGAL::Classification::Label_handle`
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- `CGAL::Classification::Label_set`
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\cgalCRPSection{Feature}
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- `CGAL::Classification::Feature_base`
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- `CGAL::Classification::Feature_handle`
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- `CGAL::Classification::Feature_set`
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\cgalCRPSection{Predefined Features}
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- `CGAL::Classification::Feature::Color_channel<GeomTraits, PointRange, ColorMap>`
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- `CGAL::Classification::Feature::Distance_to_plane<PointRange, PointMap>`
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- `CGAL::Classification::Feature::Echo_scatter<GeomTraits, PointRange, PointMap, EchoMap>`
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- `CGAL::Classification::Feature::Eigenvalue`
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- `CGAL::Classification::Feature::Elevation<GeomTraits, PointRange, PointMap>`
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- `CGAL::Classification::Feature::Height_above<GeomTraits, PointRange, PointMap>`
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- `CGAL::Classification::Feature::Height_below<GeomTraits, PointRange, PointMap>`
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- `CGAL::Classification::Feature::Simple_feature<InputRange, PropertyMap>`
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- `CGAL::Classification::Feature::Vertical_dispersion<GeomTraits, PointRange, PointMap>`
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- `CGAL::Classification::Feature::Vertical_range<GeomTraits, PointRange, PointMap>`
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- `CGAL::Classification::Feature::Verticality<GeomTraits>`
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\cgalCRPSection{Point Set Classification}
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- `CGAL::Classification::Point_set_feature_generator<GeomTraits, PointRange, PointMap, ConcurrencyTag, DiagonalizeTraits>`
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- `CGAL::Classification::Point_set_neighborhood<GeomTraits, PointRange, PointMap>`
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\cgalCRPSection{Mesh Classification}
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- `CGAL::Classification::Mesh_feature_generator<GeomTraits, FaceGraph, PointMap, ConcurrencyTag, DiagonalizeTraits>`
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- `CGAL::Classification::Mesh_neighborhood<FaceListGraph>`
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- `CGAL::Classification::Face_descriptor_to_center_of_mass_map<FaceListGraph, VertexPointMap>`
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- `CGAL::Classification::Face_descriptor_to_face_descriptor_with_bbox_map<FaceListGraph, VertexPointMap>`
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\cgalCRPSection{Cluster Classification}
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- `CGAL::Classification::Cluster<ItemRange, ItemMap>`
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- `CGAL::Classification::create_clusters_from_indices()`
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- `CGAL::Classification::Feature::Cluster_mean_of_feature`
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- `CGAL::Classification::Feature::Cluster_variance_of_feature`
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- `CGAL::Classification::Feature::Cluster_size`
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- `CGAL::Classification::Feature::Cluster_vertical_extent`
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*/
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