CGAL 6.1 - Shape Detection

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Reference Manual

##

Sven Oesau, Yannick Verdie, Clément Jamin, Pierre Alliez, Florent Lafarge, Simon Giraudot, Thien Hoang, and Dmitry Anisimov
This package implements the Efficient RANSAC (RANdom SAmple Consensus) approach for detecting arbitrary shapes in an unorganized point set with unoriented normals and the Region Growing approach for detecting shapes in a set of arbitrary items.
Introduced in: CGAL 4.7
Depends on: Eigen
BibTeX: cgal:ovja-pssd-25b
License: GPL
Windows Demo: CGAL Lab

## Classified Reference Pages

- Efficient RANSAC
- Region Growing

## Modules
| Efficient RANSAC
| Classified Reference Manual for the Efficient RANSAC shape detection component.
| Region Growing
| Classified Reference Manual for the Region Growing shape detection component.

## Files
file | Shape_detection.h
| A convenience header that includes all classes for shape detection.
file | Efficient_RANSAC.h
| A convenience header that includes all classes related to the efficient RANSAC algorithm.
file | Region_growing.h
| A convenience header that includes all classes related to the region growing algorithm.
file | Point_set.h
| A convenience header that includes all classes related to the region growing algorithm on a point set.
file | Polygon_mesh.h
| A convenience header that includes all classes related to the region growing algorithm on a polygon mesh.
file | Segment_set.h
| A convenience header that includes all classes related to the region growing algorithm on a segment set.