Shape Detection Reference

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-24a
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.