Classes | |
struct | nanoflann::L1_Adaptor< T, DataSource, _DistanceType > |
Manhattan distance functor (generic version, optimized for high-dimensionality data sets). More... | |
struct | nanoflann::L2_Adaptor< T, DataSource, _DistanceType > |
Squared Euclidean distance functor (generic version, optimized for high-dimensionality data sets). More... | |
struct | nanoflann::L2_Simple_Adaptor< T, DataSource, _DistanceType > |
Squared Euclidean (L2) distance functor (suitable for low-dimensionality datasets, like 2D or 3D point clouds) Corresponding distance traits: nanoflann::metric_L2_Simple. More... | |
struct | nanoflann::metric_L1 |
Metaprogramming helper traits class for the L1 (Manhattan) metric. More... | |
struct | nanoflann::metric_L2 |
Metaprogramming helper traits class for the L2 (Euclidean) metric. More... | |
struct | nanoflann::metric_L2_Simple |
Metaprogramming helper traits class for the L2_simple (Euclidean) metric. More... | |
Functions | |
template<typename T > | |
T | nanoflann::abs (T x) |
template<> | |
int | nanoflann::abs< int > (int x) |
template<> | |
float | nanoflann::abs< float > (float x) |
template<> | |
double | nanoflann::abs< double > (double x) |
template<> | |
long double | nanoflann::abs< long double > (long double x) |
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inline |
Definition at line 237 of file nanoflann.hpp.
Referenced by nanoflann::L1_Adaptor< T, DataSource, _DistanceType >::accum_dist(), and nanoflann::L1_Adaptor< T, DataSource, _DistanceType >::operator()().
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inline |
Definition at line 240 of file nanoflann.hpp.
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inline |
Definition at line 239 of file nanoflann.hpp.
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inline |
Definition at line 238 of file nanoflann.hpp.
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inline |
Definition at line 241 of file nanoflann.hpp.
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