Point Cloud Library (PCL) 1.15.0
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correspondence_grouping.hpp
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39
40
41#ifndef PCL_RECOGNITION_CORRESPONDENCE_GROUPING_IMPL_H_
42#define PCL_RECOGNITION_CORRESPONDENCE_GROUPING_IMPL_H_
43
44
45namespace pcl
46{
47
48template <typename PointModelT, typename PointSceneT> void
49CorrespondenceGrouping<PointModelT, PointSceneT>::cluster (std::vector<Correspondences> &clustered_corrs)
50{
51 clustered_corrs.clear ();
52 corr_group_scale_.clear ();
53
54 if (!initCompute ())
55 {
56 return;
57 }
58
59 //Perform the actual clustering
60 clusterCorrespondences (clustered_corrs);
61
63}
64
65} // namespace pcl
66
67#endif // PCL_RECOGNITION_CORRESPONDENCE_GROUPING_IMPL_H_
68
void cluster(std::vector< Correspondences > &clustered_corrs)
Clusters the input correspondences belonging to different model instances.
bool initCompute()
This method should get called before starting the actual computation.
bool deinitCompute()
This method should get called after finishing the actual computation.
virtual void clusterCorrespondences(std::vector< Correspondences > &clustered_corrs)=0
The actual clustering method, should be implemented by each subclass.
std::vector< double > corr_group_scale_
characteristic scale associated to each correspondence subset; if the cg algorithm can not handle sca...