CGAL 6.1.1 - Shape Detection

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CGAL::Shape_detection::Plane< Traits > Class Template Reference
Reference Manual » Efficient RANSAC » Shapes

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

## Inherits from

CGAL::Shape_detection::Shape_base< Traits >.

## Definition

template<class Traits>
class CGAL::Shape_detection::Plane< Traits >

Plane implements Shape_base.

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_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.
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`.
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.
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< typenameTraits::Point_map >::reference | point (std::size_t i) const
| Retrieves the point location from its index.
boost::property_traits< typenameTraits::Normal_map >::reference | normal (std::size_t i) const
| Retrieves the normal vector from its index.
const Traits & | traits () const
| Retrieves the traits class.