CGAL 5.6.1 - Shape Detection
Shape Detection Reference

shapes_detail.png
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: Polyhedron demo

Classified Reference Pages

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.