nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node Struct Reference

Detailed Description

template<typename Distance, class DatasetAdaptor, int DIM = -1, typename IndexType = size_t>
struct nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node

Definition at line 765 of file nanoflann.hpp.

#include <mrpt/otherlibs/nanoflann/nanoflann.hpp>

Public Attributes
union {
struct {
IndexType   left
	Indices of points in leaf node. More...
IndexType   right
}   lr
struct {
int   divfeat
	Dimension used for subdivision. More...
DistanceType   divlow
	The values used for subdivision. More...
DistanceType   divhigh
}   sub
};
Node *	child1
	The child nodes. More...
Node *	child2

Member Data Documentation

union { ... }

child1

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

Node* nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::child1

The child nodes.

Definition at line 790 of file nanoflann.hpp.

Referenced by nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::divideTree(), nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::load_tree(), nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::save_tree(), and nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::searchLevel().

child2

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

Node * nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::child2

Definition at line 790 of file nanoflann.hpp.

Referenced by nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::divideTree(), nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::load_tree(), nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::save_tree(), and nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::searchLevel().

divfeat

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

int nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::divfeat

Dimension used for subdivision.

Definition at line 780 of file nanoflann.hpp.

divhigh

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

DistanceType nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::divhigh

Definition at line 784 of file nanoflann.hpp.

divlow

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

DistanceType nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::divlow

The values used for subdivision.

Definition at line 784 of file nanoflann.hpp.

left

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

IndexType nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::left

Indices of points in leaf node.

Definition at line 773 of file nanoflann.hpp.

struct { ... } nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::lr

Referenced by nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::divideTree(), and nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::searchLevel().

right

template<typename Distance , class DatasetAdaptor , int DIM = -1, typename IndexType = size_t>

IndexType nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::right

Definition at line 773 of file nanoflann.hpp.

struct { ... } nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node::sub

Referenced by nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::divideTree(), and nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::searchLevel().