ParsedKDTreeDistance< dim >::PointCloudAdaptor Struct Reference

Adaptor class used internally by nanoflann. More...

#include <parsed_kdtree_distance.h>

Public Types
typedef double	coord_t
	A typedef used by nanoflann. More...

Public Member Functions
	PointCloudAdaptor (const std::vector< Point< dim > > &_points)
	The constrcutor needs the data set source. More...
size_t	kdtree_get_point_count () const
	Return number of points in the data set (required by nanoflann). More...
coord_t	kdtree_distance (const coord_t *p1, const size_t idx_p2, size_t size) const
	Return the L2 distance between points. More...
coord_t	kdtree_get_pt (const size_t idx, int d) const
	Return the dim'th component of the idx'th point in the class. More...
template<class BBOX >
bool	kdtree_get_bbox (BBOX &) const
	Optional bounding-box computation: return false to default to a standard bbox computation loop. More...

Public Attributes
const std::vector< Point< dim > > &	points
	Reference to the vector of points from which we want to compute the distance. More...

Detailed Description

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

Adaptor class used internally by nanoflann.

Class actually stores a reference to the vector of points, and generates some helper functions for nanoflann.

Definition at line 83 of file parsed_kdtree_distance.h.

Member Typedef Documentation

coord_t

template<int dim>

typedef double ParsedKDTreeDistance< dim >::PointCloudAdaptor::coord_t

A typedef used by nanoflann.

Definition at line 88 of file parsed_kdtree_distance.h.

Constructor & Destructor Documentation

PointCloudAdaptor()

template<int dim>

ParsedKDTreeDistance< dim >::PointCloudAdaptor::PointCloudAdaptor ( const std::vector< Point< dim > > &  _points )

inline

The constrcutor needs the data set source.

Definition at line 101 of file parsed_kdtree_distance.h.

Member Function Documentation

kdtree_distance()

template<int dim>

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

inline

Return the L2 distance between points.

Definition at line 116 of file parsed_kdtree_distance.h.

kdtree_get_bbox()

template<int dim>

template<class BBOX >

bool ParsedKDTreeDistance< dim >::PointCloudAdaptor::kdtree_get_bbox ( BBOX &  ) const

inline

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).

Definition at line 144 of file parsed_kdtree_distance.h.

kdtree_get_point_count()

template<int dim>

size_t ParsedKDTreeDistance< dim >::PointCloudAdaptor::kdtree_get_point_count ( ) const

inline

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

Definition at line 107 of file parsed_kdtree_distance.h.

kdtree_get_pt()

template<int dim>

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

inline

Return the dim'th component of the idx'th point in the class.

Definition at line 129 of file parsed_kdtree_distance.h.

Member Data Documentation

points

template<int dim>

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

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

A const ref to the data set origin

Definition at line 95 of file parsed_kdtree_distance.h.

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

• include/deal2lkit/parsed_kdtree_distance.h