Brute-force nearest neighbour. More...
#include <nabo_private.h>

Public Types | |
| typedef NearestNeighbourSearch < T >::Index | Index |
| an index to a Vector or a Matrix, for refering to data points | |
| typedef NearestNeighbourSearch < T >::IndexMatrix | IndexMatrix |
| a matrix of indices to data points | |
| typedef NearestNeighbourSearch < T >::IndexVector | IndexVector |
| a vector of indices to data points | |
| typedef NearestNeighbourSearch < T >::Matrix | Matrix |
| a column-major Eigen matrix in which each column is a point; this matrix has dim rows | |
| typedef NearestNeighbourSearch < T >::Vector | Vector |
| an Eigen vector of type T, to hold the coordinates of a point | |
Public Member Functions | |
| BruteForceSearch (const Matrix &cloud, const Index dim, const unsigned creationOptionFlags) | |
| constructor, calls NearestNeighbourSearch<T>(cloud) | |
| virtual unsigned long | knn (const Matrix &query, IndexMatrix &indices, Matrix &dists2, const Index k, const T epsilon, const unsigned optionFlags, const T maxRadius) const |
| Find the k nearest neighbours for each point of query. | |
| virtual unsigned long | knn (const Matrix &query, IndexMatrix &indices, Matrix &dists2, const Vector &maxRadii, const Index k=1, const T epsilon=0, const unsigned optionFlags=0) const |
| Find the k nearest neighbours for each point of query. | |
Brute-force nearest neighbour.
Definition at line 76 of file nabo_private.h.
| typedef NearestNeighbourSearch<T>::Index Nabo::BruteForceSearch< T >::Index |
an index to a Vector or a Matrix, for refering to data points
Reimplemented from Nabo::NearestNeighbourSearch< T >.
Definition at line 80 of file nabo_private.h.
| typedef NearestNeighbourSearch<T>::IndexMatrix Nabo::BruteForceSearch< T >::IndexMatrix |
a matrix of indices to data points
Reimplemented from Nabo::NearestNeighbourSearch< T >.
Definition at line 82 of file nabo_private.h.
| typedef NearestNeighbourSearch<T>::IndexVector Nabo::BruteForceSearch< T >::IndexVector |
a vector of indices to data points
Reimplemented from Nabo::NearestNeighbourSearch< T >.
Definition at line 81 of file nabo_private.h.
| typedef NearestNeighbourSearch<T>::Matrix Nabo::BruteForceSearch< T >::Matrix |
a column-major Eigen matrix in which each column is a point; this matrix has dim rows
Reimplemented from Nabo::NearestNeighbourSearch< T >.
Definition at line 79 of file nabo_private.h.
| typedef NearestNeighbourSearch<T>::Vector Nabo::BruteForceSearch< T >::Vector |
an Eigen vector of type T, to hold the coordinates of a point
Reimplemented from Nabo::NearestNeighbourSearch< T >.
Definition at line 78 of file nabo_private.h.
| Nabo::BruteForceSearch< T >::BruteForceSearch | ( | const Matrix & | cloud, |
| const Index | dim, | ||
| const unsigned | creationOptionFlags | ||
| ) |
constructor, calls NearestNeighbourSearch<T>(cloud)
Definition at line 45 of file brute_force_cpu.cpp.
| unsigned long Nabo::BruteForceSearch< T >::knn | ( | const Matrix & | query, |
| IndexMatrix & | indices, | ||
| Matrix & | dists2, | ||
| const Index | k, | ||
| const T | epsilon, | ||
| const unsigned | optionFlags, | ||
| const T | maxRadius | ||
| ) | const [virtual] |
Find the k nearest neighbours for each point of query.
If the search finds less than k points, the empty entries in dists2 will be filled with infinity and the indices with 0.
| query | query points |
| indices | indices of nearest neighbours, must be of size k x query.cols() |
| dists2 | squared distances to nearest neighbours, must be of size k x query.cols() |
| k | number of nearest neighbour requested |
| epsilon | maximal percentage of error for approximate search, 0 for exact search |
| optionFlags | search options, a bitwise OR of elements of SearchOptionFlags |
| maxRadius | maximum radius in which to search, can be used to prune search, is not affected by epsilon |
Implements Nabo::NearestNeighbourSearch< T >.
Definition at line 64 of file brute_force_cpu.cpp.
| unsigned long Nabo::BruteForceSearch< T >::knn | ( | const Matrix & | query, |
| IndexMatrix & | indices, | ||
| Matrix & | dists2, | ||
| const Vector & | maxRadii, | ||
| const Index | k = 1, |
||
| const T | epsilon = 0, |
||
| const unsigned | optionFlags = 0 |
||
| ) | const [virtual] |
Find the k nearest neighbours for each point of query.
If the search finds less than k points, the empty entries in dists2 will be filled with infinity and the indices with 0.
| query | query points |
| indices | indices of nearest neighbours, must be of size k x query.cols() |
| dists2 | squared distances to nearest neighbours, must be of size k x query.cols() |
| maxRadii | vector of maximum radii in which to search, used to prune search, is not affected by epsilon |
| k | number of nearest neighbour requested |
| epsilon | maximal percentage of error for approximate search, 0 for exact search |
| optionFlags | search options, a bitwise OR of elements of SearchOptionFlags |
Implements Nabo::NearestNeighbourSearch< T >.
Definition at line 71 of file brute_force_cpu.cpp.