CGAL 5.6.1 - Classification
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▼Classification Reference | |
Concepts | |
Main Functions | Functions that perform classification based on a set of labels and a classifier, with or without regularization |
▼Classifiers | Classifiers are functors that, given a label set and an input item, associate this input item with an energy for each label |
ETHZ | Classifiers that use the ETHZ library |
OpenCV | Classifiers that use the OpenCV library |
Common Data Structures | Useful data structures that are used to compute features (computation of eigenvalues, for example) |
Label | A label represents how an item should be classified, for example: vegetation, building, road, etc |
Feature | Features are defined as scalar fields that associates each input item with a specific value |
Predefined Features | CGAL provides some predefined features that are relevant for classification of point sets |
Point Set Classification | Data structures specialized to classify point sets |
Mesh Classification | Data structures specialized to classify surface meshes |
Cluster Classification | Data structures specialized to classify clusters |