OpenCV
3.0.0
Open Source Computer Vision
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The FLANN nearest neighbor index class. This class is templated with the type of elements for which the index is built. More...
#include "flann.hpp"
Public Types | |
typedef Distance::ResultType | DistanceType |
typedef Distance::ElementType | ElementType |
Public Member Functions | |
GenericIndex (const Mat &features, const ::cvflann::IndexParams ¶ms, Distance distance=Distance()) | |
Constructs a nearest neighbor search index for a given dataset. More... | |
~GenericIndex () | |
const ::cvflann::IndexParams * | getIndexParameters () |
::cvflann::IndexParams | getParameters () |
void | knnSearch (const std::vector< ElementType > &query, std::vector< int > &indices, std::vector< DistanceType > &dists, int knn, const ::cvflann::SearchParams ¶ms) |
Performs a K-nearest neighbor search for a given query point using the index. More... | |
void | knnSearch (const Mat &queries, Mat &indices, Mat &dists, int knn, const ::cvflann::SearchParams ¶ms) |
int | radiusSearch (const std::vector< ElementType > &query, std::vector< int > &indices, std::vector< DistanceType > &dists, DistanceType radius, const ::cvflann::SearchParams ¶ms) |
int | radiusSearch (const Mat &query, Mat &indices, Mat &dists, DistanceType radius, const ::cvflann::SearchParams ¶ms) |
void | save (String filename) |
int | size () const |
int | veclen () const |
The FLANN nearest neighbor index class. This class is templated with the type of elements for which the index is built.
typedef Distance::ResultType cv::flann::GenericIndex< Distance >::DistanceType |
typedef Distance::ElementType cv::flann::GenericIndex< Distance >::ElementType |
cv::flann::GenericIndex< Distance >::GenericIndex | ( | const Mat & | features, |
const ::cvflann::IndexParams & | params, | ||
Distance | distance = Distance() |
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Constructs a nearest neighbor search index for a given dataset.
features | Matrix of containing the features(points) to index. The size of the matrix is num_features x feature_dimensionality and the data type of the elements in the matrix must coincide with the type of the index. |
params | Structure containing the index parameters. The type of index that will be constructed depends on the type of this parameter. See the description. |
distance | The method constructs a fast search structure from a set of features using the specified algorithm with specified parameters, as defined by params. params is a reference to one of the following class IndexParams descendants: |
cv::flann::GenericIndex< Distance >::~GenericIndex | ( | ) |
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void cv::flann::GenericIndex< Distance >::knnSearch | ( | const std::vector< ElementType > & | query, |
std::vector< int > & | indices, | ||
std::vector< DistanceType > & | dists, | ||
int | knn, | ||
const ::cvflann::SearchParams & | params | ||
) |
Performs a K-nearest neighbor search for a given query point using the index.
query | The query point |
indices | Vector that will contain the indices of the K-nearest neighbors found. It must have at least knn size. |
dists | Vector that will contain the distances to the K-nearest neighbors found. It must have at least knn size. |
knn | Number of nearest neighbors to search for. |
params | SearchParams |
void cv::flann::GenericIndex< Distance >::knnSearch | ( | const Mat & | queries, |
Mat & | indices, | ||
Mat & | dists, | ||
int | knn, | ||
const ::cvflann::SearchParams & | params | ||
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int cv::flann::GenericIndex< Distance >::radiusSearch | ( | const std::vector< ElementType > & | query, |
std::vector< int > & | indices, | ||
std::vector< DistanceType > & | dists, | ||
DistanceType | radius, | ||
const ::cvflann::SearchParams & | params | ||
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int cv::flann::GenericIndex< Distance >::radiusSearch | ( | const Mat & | query, |
Mat & | indices, | ||
Mat & | dists, | ||
DistanceType | radius, | ||
const ::cvflann::SearchParams & | params | ||
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