MRPT  1.9.9
Classes
Metric (distance) classes

Detailed Description

Collaboration diagram for Metric (distance) classes:

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...
 



Page generated by Doxygen 1.8.14 for MRPT 1.9.9 Git: c7a3bec24 Sun Mar 29 18:33:13 2020 +0200 at dom mar 29 18:50:38 CEST 2020