CGAL 6.2 - dD Spatial Searching: Spatial_searching/nearest_neighbor_searching.cpp

CGAL 6.2 - dD Spatial Searching

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Spatial_searching/nearest_neighbor_searching.cpp
#include <CGAL/Simple_cartesian.h>
#include <CGAL/point_generators_2.h>
#include <CGAL/Orthogonal_k_neighbor_search.h>
#include <CGAL/Search_traits_2.h>
#include <list>
#include <cmath>
typedef CGAL::Simple_cartesian<double> K;
typedef K::Point_2 Point_d;
typedef CGAL::Search_traits_2<K> TreeTraits;
typedef CGAL::Orthogonal_k_neighbor_search<TreeTraits> Neighbor_search;
typedef Neighbor_search::Tree Tree;
int main()
{
const unsigned int N = 1;
std::list<Point_d> points;
points.push_back(Point_d(0,0));
Tree tree(points.begin(), points.end());
// Initialize the search structure, and search all N points
Point_d query(0,0);
Neighbor_search search(tree, query, N);
// report the N nearest neighbors and their distance
// This should sort all N points by increasing distance from origin
for(Neighbor_search::iterator it = search.begin(); it != search.end(); ++it)
std::cout << it->first << " "<< std::sqrt(it->second) << std::endl;
return 0;
}
CGAL::Orthogonal_k_neighbor_search
The class Orthogonal_k_neighbor_search implements approximatek-nearest and k-furthest neighbor search...
Definition: Orthogonal_k_neighbor_search.h:31
CGAL::Search_traits_2
The class Search_traits_2 can be used as a template parameter of the kd tree and the search classes.
Definition: Search_traits_2.h:19
CGAL::Simple_cartesian