OpenCV
Open Source Computer Vision
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#include "kdtree_single_index.h"
Public Types | |
typedef Distance::ResultType | DistanceType |
typedef Distance::ElementType | ElementType |
Public Member Functions | |
KDTreeSingleIndex (const Matrix< ElementType > &inputData, const IndexParams ¶ms=KDTreeSingleIndexParams(), Distance d=Distance()) | |
KDTreeSingleIndex (const KDTreeSingleIndex &) | |
~KDTreeSingleIndex () | |
void | buildIndex () |
void | findNeighbors (ResultSet< DistanceType > &result, const ElementType *vec, const SearchParams &searchParams) |
IndexParams | getParameters () const |
flann_algorithm_t | getType () const |
void | knnSearch (const Matrix< ElementType > &queries, Matrix< int > &indices, Matrix< DistanceType > &dists, int knn, const SearchParams ¶ms) |
Perform k-nearest neighbor search. More... | |
void | loadIndex (FILE *stream) |
Loads the index from a stream. More... | |
KDTreeSingleIndex & | operator= (const KDTreeSingleIndex &) |
void | saveIndex (FILE *stream) |
Saves the index to a stream. More... | |
size_t | size () const |
int | usedMemory () const |
size_t | veclen () const |
Public Member Functions inherited from cvflann::NNIndex< Distance > | |
virtual | ~NNIndex () |
virtual int | radiusSearch (const Matrix< ElementType > &query, Matrix< int > &indices, Matrix< DistanceType > &dists, float radius, const SearchParams ¶ms) |
Perform radius search. More... | |
Randomized kd-tree index
Contains the k-d trees and other information for indexing a set of points for nearest-neighbor matching.
typedef Distance::ResultType cvflann::KDTreeSingleIndex< Distance >::DistanceType |
typedef Distance::ElementType cvflann::KDTreeSingleIndex< Distance >::ElementType |
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inline |
KDTree constructor
Params: inputData = dataset with the input features params = parameters passed to the kdtree algorithm
cvflann::KDTreeSingleIndex< Distance >::KDTreeSingleIndex | ( | const KDTreeSingleIndex< Distance > & | ) |
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inline |
Standard destructor
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inlinevirtual |
Builds the index
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Find set of nearest neighbors to vec. Their indices are stored inside the result object.
Params: result = the result object in which the indices of the nearest-neighbors are stored vec = the vector for which to search the nearest neighbors maxCheck = the maximum number of restarts (in a best-bin-first manner)
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Perform k-nearest neighbor search.
[in] | queries | The query points for which to find the nearest neighbors |
[out] | indices | The indices of the nearest neighbors found |
[out] | dists | Distances to the nearest neighbors found |
[in] | knn | Number of nearest neighbors to return |
[in] | params | Search parameters |
Reimplemented from cvflann::NNIndex< Distance >.
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inlinevirtual |
Loads the index from a stream.
stream | The stream from which the index is loaded |
Implements cvflann::NNIndex< Distance >.
KDTreeSingleIndex& cvflann::KDTreeSingleIndex< Distance >::operator= | ( | const KDTreeSingleIndex< Distance > & | ) |
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inlinevirtual |
Saves the index to a stream.
stream | The stream to save the index to |
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Returns size of index.
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Computes the inde memory usage Returns: memory used by the index
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Returns the length of an index feature.
Implements cvflann::NNIndex< Distance >.