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

Inherits from

CGAL::Shape_detection::Shape_base< Traits >.

Definition

The plane is represented by the normal vector and the distance to the origin.

Template Parameters

Traits must be a model of EfficientRANSACTraits with the additional requirement for planes (see EfficientRANSACTraits documentation).

Examples:: Shape_detection/efficient_RANSAC_and_plane_regularization.cpp, Shape_detection/efficient_RANSAC_basic.cpp, Shape_detection/efficient_RANSAC_with_callback.cpp, Shape_detection/efficient_RANSAC_with_parameters.cpp, and Shape_detection/efficient_RANSAC_with_point_access.cpp.

Public Types
typedef Traits::Plane_3	Plane_3
	Plane type for the conversion operator.

Public Types inherited from CGAL::Shape_detection::Shape_base< Traits >
typedef Traits::FT	FT
	Number type.

typedef Traits::Point_3	Point_3
	Point type.

typedef Traits::Vector_3	Vector_3
	Vector type.

Public Member Functions
	operator Plane_3 () const
	Conversion operator to `Plane_3` type.

Vector_3	plane_normal () const
	Normal vector of the plane.

FT	d () const
	Signed distance from the origin.

Public Member Functions inherited from CGAL::Shape_detection::Shape_base< Traits >
const std::vector< std::size_t > &	indices_of_assigned_points () const
	Returns the indices of the points in the input range assigned to this shape.

virtual std::string	info () const
	Returns a string containing the shape type and the numerical parameters.

virtual FT	squared_distance (const Point_3 &p) const =0
	Computes the squared Euclidean distance from the query point `p` to the shape.

Additional Inherited Members
Protected Member Functions inherited from CGAL::Shape_detection::Shape_base< Traits >
virtual void	create_shape (const std::vector< std::size_t > &indices)=0
	Constructs the shape based on a minimal set of samples from the input data.

virtual std::size_t	connected_component (std::vector< std::size_t > &indices, FT cluster_epsilon)
	Determines the largest cluster of inlier points. More...

std::size_t	connected_component_kdTree (std::vector< std::size_t > &indices, FT cluster_epsilon)
	Determines the largest cluster with a point-to-point distance not larger than `cluster_epsilon`. More...

virtual void	squared_distance (const std::vector< std::size_t > &indices, std::vector< FT > &distances) const =0
	Computes the squared Euclidean distance from a set of points to the shape. More...

virtual void	cos_to_normal (const std::vector< std::size_t > &indices, std::vector< FT > &angles) const =0
	Computes the deviation of the point normal from the surface normal at the projected point in form of the dot product and writes the result into the provided `angles` vector.

virtual std::size_t	minimum_sample_size () const =0
	Returns minimal number of sample points required for construction.

boost::property_traits< typename Traits::Point_map >::reference	point (std::size_t i) const
	Retrieves the point location from its index.

boost::property_traits< typename Traits::Normal_map >::reference	normal (std::size_t i) const
	Retrieves the normal vector from its index.

const Traits &	traits () const
	Retrieves the traits class.

Inherits from

Definition

Public Types

Public Member Functions

Additional Inherited Members