derived() const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
derived() | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
index | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | |
index_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | |
kdtree_distance(const num_t *p1, const size_t idx_p2, size_t size) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
kdtree_get_bbox(BBOX &bb) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
kdtree_get_point_count() const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
kdtree_get_pt(const size_t idx, int dim) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
KDTreeEigenMatrixAdaptor(const int dimensionality, const MatrixType &mat, const int leaf_max_size=10) | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
m_data_matrix | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | |
metric_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | |
num_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | |
query(const num_t *query_point, const size_t num_closest, IndexType *out_indices, num_t *out_distances_sq, const int nChecks_IGNORED=10) const | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |
self_t typedef | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | |
~KDTreeEigenMatrixAdaptor() | nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, IndexType > | inline |