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...
 



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