\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 5.0 - Shape Detection
List of all members | Public Attributes
CGAL::Shape_detection::Efficient_RANSAC< Traits >::Parameters Struct Reference

#include <CGAL/Shape_detection/Efficient_RANSAC/Efficient_RANSAC.h>

Definition

Parameters for the shape detection algorithm.

They are explained in detail in Section Parameters of the User Manual.

Public Attributes

FT probability
 Probability to control search endurance. Default value: 5%.
 
std::size_t min_points
 Minimum number of points of a shape. Default value: 1% of total number of input points.
 
FT epsilon
 Maximum tolerance Euclidean distance from a point and a shape. Default value: 1% of bounding box diagonal.
 
FT normal_threshold
 Maximum tolerance normal deviation from a point's normal to the normal on a shape at the projected point. Default value: 0.9 (around 25 degrees).
 
FT cluster_epsilon
 Maximum distance between points to be considered connected. Default value: 1% of bounding box diagonal.