KdTree.hpp File Reference

#include <type_traits>
#include <initializer_list>
#include <memory>
#include <algorithm>
#include <array>
#include <queue>
#include <deque>
#include <list>
#include <tuple>
#include <unordered_set>
#include <unordered_map>
#include <utility>
#include <fstream>
#include <meta/meta.hpp>
#include "ApproxMVBB/Config/Config.hpp"
#include "ApproxMVBB/Common/StaticAssert.hpp"
#include "ApproxMVBB/Common/SfinaeMacros.hpp"
#include "ApproxMVBB/Common/ContainerTag.hpp"
#include "ApproxMVBB/AABB.hpp"

Include dependency graph for KdTree.hpp:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes
struct	ApproxMVBB::KdTree::TreeTraits< TNodeData, TSplitHeuristic, TNode >::BaseTraits
struct	ApproxMVBB::KdTree::TreeSimpleTraits< TNodeData, TNode >::BaseTraits
class	ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >::BoundaryInformation
struct	ApproxMVBB::KdTree::DefaultDistanceCompTraits< TPoint, TPointGetter >
class	ApproxMVBB::KdTree::DefaultPointDataTraits< Dim, TPoint, TValue, TPointGetter, TDistanceCompTraits >
struct	ApproxMVBB::KdTree::DistanceComp< TPoint, TPointGetter, DistSq >
struct	ApproxMVBB::KdTree::EuclideanDistSq
struct	ApproxMVBB::KdTree::Tree< TTraits >::isKNNTraits< KNNTraits< N, C > >
class	ApproxMVBB::KdTree::Tree< TTraits >::KNearestPrioQueue< Container, Compare >
struct	ApproxMVBB::KdTree::Tree< TTraits >::KNNTraits< TDistSq, TContainer >
class	ApproxMVBB::KdTree::LinearQualityEvaluator
class	ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
struct	ApproxMVBB::KdTree::NoData< Dim >
class	ApproxMVBB::KdTree::Node< TTraits >
class	ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >
class	ApproxMVBB::KdTree::NodeSimple< TTraits, PD >
struct	ApproxMVBB::KdTree::Tree< TTraits >::ParentInfo
class	ApproxMVBB::KdTree::PointData< TTraits >
struct	ApproxMVBB::KdTree::DefaultPointDataTraits< Dim, TPoint, TValue, TPointGetter, TDistanceCompTraits >::PointGetterImpl< T >
struct	ApproxMVBB::KdTree::DefaultPointDataTraits< Dim, TPoint, TValue, TPointGetter, TDistanceCompTraits >::PointGetterImpl< TT * >
struct	ApproxMVBB::KdTree::details::select< PD, T >
struct	ApproxMVBB::KdTree::details::select< void, T >
class	ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
class	ApproxMVBB::KdTree::Tree< TTraits >
class	ApproxMVBB::KdTree::TreeBase< Traits >
class	ApproxMVBB::KdTree::TreeSimple< TTraits >
struct	ApproxMVBB::KdTree::TreeSimpleTraits< TNodeData, TNode >
class	ApproxMVBB::KdTree::TreeStatistics
struct	ApproxMVBB::KdTree::TreeTraits< TNodeData, TSplitHeuristic, TNode >
Namespaces
namespace	ApproxMVBB
	These are some container definitions.
namespace	ApproxMVBB::KdTree
namespace	ApproxMVBB::KdTree::details
Defines
#define	DEFINE_KDTREE_BASENODETYPES(_Base_)
#define	DEFINE_KDTREE_BASETYPES(__Traits__)

---

Define Documentation

#define DEFINE_KDTREE_BASENODETYPES

(

_Base_

)

Value:

using SplitAxisType = typename  _Base_::SplitAxisType; \
        using BoundaryInfoType = typename _Base_::BoundaryInfoType;

Definition at line 724 of file KdTree.hpp.

#define DEFINE_KDTREE_BASETYPES

(

__Traits__

)

Value:

/* NodeDataType, Dimension and NodeType */ \
        using NodeDataType = typename __Traits__::NodeDataType; \
        static const unsigned int Dimension = __Traits__::NodeDataType::Dimension; \
        using NodeType = typename __Traits__::NodeType; \
        /*Containers*/ \
        using NodeContainerType = std::vector<NodeType *>; \
        using LeafContainerType = NodeContainerType; \
        using LeafNeighbourMapType = std::unordered_map<std::size_t, std::unordered_set<std::size_t> >;

Definition at line 62 of file KdTree.hpp.