KDTree< dim >::PointCloudAdaptor Struct Reference

#include <deal.II/numerics/kdtree.h>

Public Types
using	coord_t = double

Public Member Functions
	PointCloudAdaptor (const std::vector< Point< dim >> &_points)
size_t	kdtree_get_point_count () const
coord_t	kdtree_distance (const coord_t *p1, const std::size_t idx_p2, const std::size_t size) const
coord_t	kdtree_get_pt (const std::size_t idx, const int d) const
template<class BBOX >
bool	kdtree_get_bbox (BBOX &) const

Public Attributes
const std::vector< Point< dim > > &	points

Detailed Description

template<int dim>
struct KDTree< dim >::PointCloudAdaptor

Adaptor class used internally by nanoflann. This class stores a reference to the vector of points, and generates some helper functions for nanoflann.

Definition at line 99 of file kdtree.h.

Member Typedef Documentation

coord_t

template<int dim>

using KDTree< dim >::PointCloudAdaptor::coord_t = double

An alias used by nanoflann.

Definition at line 104 of file kdtree.h.

Constructor & Destructor Documentation

PointCloudAdaptor()

template<int dim>

KDTree< dim >::PointCloudAdaptor::PointCloudAdaptor

(

const std::vector< Point< dim >> &

_points

)

The constructor needs the vector of points from which we want to build the tree.

Member Function Documentation

kdtree_get_point_count()

template<int dim>

size_t KDTree< dim >::PointCloudAdaptor::kdtree_get_point_count

(

)

const

Return number of points in the data set (required by nanoflann).

kdtree_distance()

template<int dim>

coord_t KDTree< dim >::PointCloudAdaptor::kdtree_distance	(	const coord_t *	p1,
		const std::size_t	idx_p2,
		const std::size_t	size
	)		const

Return the L2 distance between points

kdtree_get_pt()

template<int dim>

coord_t KDTree< dim >::PointCloudAdaptor::kdtree_get_pt	(	const std::size_t	idx,
		const int	d
	)		const

Return the d-th component of the idx-th point in the class.

kdtree_get_bbox()

template<int dim>

template<class BBOX >

bool KDTree< dim >::PointCloudAdaptor::kdtree_get_bbox

(

BBOX &

)

const

Optional bounding-box computation: return false to default to a standard bbox computation loop. Return true if the BBOX was already computed by the class and returned in "bb" so it can be avoided to redo it again. Look at bb.size() to find out the expected dimensionality (e.g. 2 or 3 for point clouds).

Member Data Documentation

points

template<int dim>

const std::vector<Point<dim> >& KDTree< dim >::PointCloudAdaptor::points

Reference to the vector of points from which we want to compute the distance.

Definition at line 111 of file kdtree.h.

---

The documentation for this struct was generated from the following file:

• deal.II/numerics/kdtree.h