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| class | nanoflann::KNNResultSet< DistanceType, IndexType, CountType > |
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| class | nanoflann::RadiusResultSet< DistanceType, IndexType > |
| | A result-set class used when performing a radius based search. More...
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| struct | nanoflann::IndexDist_Sorter |
| | operator "<" for std::sort() More...
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| struct | nanoflann::L1_Adaptor< T, DataSource, _DistanceType > |
| | Manhattan distance functor (generic version, optimized for high-dimensionality data sets). More...
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| struct | nanoflann::L2_Adaptor< T, DataSource, _DistanceType > |
| | Squared Euclidean distance functor (generic version, optimized for high-dimensionality data sets). More...
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| 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...
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| struct | nanoflann::metric_L1 |
| | Metaprogramming helper traits class for the L1 (Manhattan) metric. More...
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| struct | nanoflann::metric_L1::traits< T, DataSource > |
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| struct | nanoflann::metric_L2 |
| | Metaprogramming helper traits class for the L2 (Euclidean) metric. More...
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| struct | nanoflann::metric_L2::traits< T, DataSource > |
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| struct | nanoflann::metric_L2_Simple |
| | Metaprogramming helper traits class for the L2_simple (Euclidean) metric. More...
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| struct | nanoflann::metric_L2_Simple::traits< T, DataSource > |
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| struct | nanoflann::KDTreeSingleIndexAdaptorParams |
| | Parameters (see README.md) More...
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| struct | nanoflann::SearchParams |
| | Search options for KDTreeSingleIndexAdaptor::findNeighbors() More...
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| class | nanoflann::PooledAllocator |
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| class | nanoflann::CArray< T, N > |
| | A STL container (as wrapper) for arrays of constant size defined at compile time (class imported from the MRPT project) This code is an adapted version from Boost, modifed for its integration within MRPT (JLBC, Dec/2009) (Renamed array -> CArray to avoid possible potential conflicts). More...
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| struct | nanoflann::array_or_vector_selector< DIM, T > |
| | Used to declare fixed-size arrays when DIM>0, dynamically-allocated vectors when DIM=-1. More...
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| struct | nanoflann::array_or_vector_selector<-1, T > |
| | Dynamic size version. More...
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| class | nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType > |
| | kd-tree index More...
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| struct | nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node |
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| struct | nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Interval |
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| struct | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance > |
| | An L2-metric KD-tree adaptor for working with data directly stored in an Eigen Matrix, without duplicating the data storage. More...
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