Here is a list of all modules:
[detail level 12]
| ▼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 |
| Data Structures | Useful data structures that are used to compute features (computation of eigenvalues, for example) and to regularize classification (neighborhood) |
| 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 |