private implementation

Files
file	brute_force_cpu.cpp
	brute force search, cpu implementation
file	index_heap.h
	implementation of index heaps
file	kdtree_cpu.cpp
	kd-tree search, cpu implementation
file	kdtree_opencl.cpp
file	nabo.cpp
	implementation of public interface
file	nabo_private.h
	header for implementation

Classes
struct	Nabo::BruteForceSearch< T, CloudType >
	Brute-force nearest neighbour. More...
struct	Nabo::KDTreeUnbalancedPtInLeavesImplicitBoundsStackOpt< T, Heap, CloudType >
	KDTree, unbalanced, points in leaves, stack, implicit bounds, ANN_KD_SL_MIDPT, optimised implementation. More...
struct	Nabo::OpenCLSearch< T, CloudType >
	OpenCL support for nearest neighbour search. More...
struct	Nabo::BruteForceSearchOpenCL< T, CloudType >
	KDTree, balanced, points in leaves, stack, implicit bounds, balance aspect ratio. More...
struct	Nabo::KDTreeBalancedPtInLeavesStackOpenCL< T, CloudType >
	KDTree, balanced, points in leaves, stack, implicit bounds, balance aspect ratio. More...
struct	Nabo::KDTreeBalancedPtInNodesStackOpenCL< T, CloudType >
	KDTree, balanced, points in nodes, stack, implicit bounds, balance aspect ratio. More...

Functions
template<typename T , typename A , typename B >
T	Nabo::dist2 (const A &v0, const B &v1)
	Euclidean distance.
#define	MAX_K   32

Detailed Description

Macro Definition Documentation

MAX_K

#define MAX_K   32

Maximum number of points acceptable in a query