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-26a
License: GPL
Windows Demo: CGAL Lab

Classified Reference Pages

• Efficient RANSAC
• Region Growing

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