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Point Cloud Library (PCL)
1.15.1-dev
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Creates a FLANN KdTreeIndex of multiple randomized trees from the given input data, suitable for feature matching. More...
#include <pcl/search/flann_search.h>
Inheritance diagram for pcl::search::FlannSearch< PointT, FlannDistance >::KdTreeMultiIndexCreator:
Collaboration diagram for pcl::search::FlannSearch< PointT, FlannDistance >::KdTreeMultiIndexCreator:Public Member Functions | |
| KdTreeMultiIndexCreator (int trees=4) | |
| virtual | ~KdTreeMultiIndexCreator ()=default |
| Empty destructor. More... | |
| virtual IndexPtr | createIndex (MatrixConstPtr data) |
| Create a FLANN Index from the input data. More... | |
Public Member Functions inherited from pcl::search::FlannSearch< PointT, FlannDistance >::FlannIndexCreator | |
| virtual | ~FlannIndexCreator ()=default |
| destructor More... | |
Creates a FLANN KdTreeIndex of multiple randomized trees from the given input data, suitable for feature matching.
Note that in this case, it is often more efficient to use the flann::L2 distance functor.
Definition at line 192 of file flann_search.h.
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inline |
| [in] | trees | Number of randomized trees to create. |
Definition at line 197 of file flann_search.h.
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virtualdefault |
Empty destructor.
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virtual |
Create a FLANN Index from the input data.
| [in] | data | The FLANN matrix containing the input. |
Implements pcl::search::FlannSearch< PointT, FlannDistance >::FlannIndexCreator.
Definition at line 71 of file flann_search.hpp.