Point Cloud Library (PCL)  1.14.1-dev
List of all members | Public Member Functions | Public Attributes
pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate Class Reference

nearestNeighborCandidate entry for the nearest neighbor candidate queue More...

#include </__w/1/s/cuda/nn/organized_neighbor_search.h>

Public Member Functions

 nearestNeighborCandidate ()
 Empty constructor
More...
 
bool operator< (const nearestNeighborCandidate &rhs_arg) const
 Operator< for comparing nearestNeighborCandidate instances with each other. More...
 

Public Attributes

int index_
 
double squared_distance_
 

Detailed Description

template<typename PointT>
class pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate

nearestNeighborCandidate entry for the nearest neighbor candidate queue

Note
This class defines entries for the nearest neighbor candidate queue
Author
Julius Kammerl (juliu.nosp@m.s@ka.nosp@m.mmerl.nosp@m..de)

Definition at line 246 of file organized_neighbor_search.h.

Constructor & Destructor Documentation

◆ nearestNeighborCandidate()

template<typename PointT >
pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate::nearestNeighborCandidate ( )
inline

Empty constructor

Definition at line 251 of file organized_neighbor_search.h.

Member Function Documentation

◆ operator<()

template<typename PointT >
bool pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate::operator< ( const nearestNeighborCandidate rhs_arg) const
inline

Operator< for comparing nearestNeighborCandidate instances with each other.


Definition at line 256 of file organized_neighbor_search.h.

References pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate::squared_distance_.

Member Data Documentation

◆ index_

template<typename PointT >
int pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate::index_

◆ squared_distance_

template<typename PointT >
double pcl::OrganizedNeighborSearch< PointT >::nearestNeighborCandidate::squared_distance_

The documentation for this class was generated from the following file: