CGAL 6.1.2 - dD Spatial Searching

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Spatial_searching/searching_with_point_with_info_pmap.cpp
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Search_traits_3.h>
#include <CGAL/Search_traits_adapter.h>
#include <CGAL/point_generators_3.h>
#include <CGAL/Orthogonal_k_neighbor_search.h>
#include <CGAL/boost/iterator/counting_iterator.hpp>
#include <utility>
typedef CGAL::Exact_predicates_inexact_constructions_kernel Kernel;
typedef Kernel::Point_3 Point_3;
typedef boost::const_associative_property_map<std::map<std::size_t,Point_3> > My_point_property_map;
typedef CGAL::Random_points_in_cube_3<Point_3> Random_points_iterator;
typedef CGAL::Search_traits_3<Kernel> Traits_base;
typedef CGAL::Search_traits_adapter<std::size_t,My_point_property_map,Traits_base> Traits;
typedef CGAL::Orthogonal_k_neighbor_search<Traits> K_neighbor_search;
typedef K_neighbor_search::Tree Tree;
typedef Tree::Splitter Splitter;
typedef K_neighbor_search::Distance Distance;
int main()
{
const unsigned int K = 5;
// generator for random data points in the cube ( (-1,-1,-1), (1,1,1) )
Random_points_iterator rpit( 1.0);
std::map<std::size_t,Point_3> points;
points[0]=Point_3(*rpit++);
points[1]=Point_3(*rpit++);
points[2]=Point_3(*rpit++);
points[3]=Point_3(*rpit++);
points[4]=Point_3(*rpit++);
points[5]=Point_3(*rpit++);
points[6]=Point_3(*rpit++);
My_point_property_map ppmap(points);
// Insert number_of_data_points in the tree
Tree tree(boost::counting_iterator<std::size_t>(0),
boost::counting_iterator<std::size_t>(points.size()),
Splitter(),
Traits(ppmap));
// search K nearest neighbors
Point_3 query(0.0, 0.0, 0.0);
Distance tr_dist(ppmap);
K_neighbor_search search(tree, query, K,0,true,tr_dist);
for(K_neighbor_search::iterator it = search.begin(); it != search.end(); it++)
{
std::cout << " d(q, nearest neighbor)= "
<< tr_dist.inverse_of_transformed_distance(it->second) << " "
<< points[it->first] << " " << it->first << std::endl;
}
return 0;
}
CGAL::Exact_predicates_inexact_constructions_kernel
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::Random_points_in_cube_3
CGAL::Search_traits_3
The class Search_traits_3 can be used as a template parameter of the kd tree and the search classes.
Definition: Search_traits_3.h:19
CGAL::Search_traits_adapter
The class Search_traits_adapter can be used as a template parameter of the kd tree and the search cla...
Definition: Search_traits_adapter.h:101
Kernel::Point_3
Splitter
This is an advanced concept.
Definition: Splitter.h:22
Kernel