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// Author(s) : Pierre Alliez
#include <iostream>
#include <CGAL/Simple_cartesian.h>
#include <CGAL/AABB_tree.h>
#include <CGAL/AABB_traits.h>
#include <CGAL/boost/graph/graph_traits_Polyhedron_3.h>
#include <CGAL/AABB_halfedge_graph_segment_primitive.h>
#include <boost/iterator/transform_iterator.hpp>
#include <boost/bind.hpp>
typedef CGAL::Simple_cartesian<double> K;
typedef K::FT FT;
typedef K::Point_3 Point;
typedef K::Triangle_3 Triangle;
typedef CGAL::Polyhedron_3<K> Polyhedron;
typedef CGAL::AABB_halfedge_graph_segment_primitive<Polyhedron> Primitive;
typedef CGAL::AABB_traits<K, Primitive> Traits;
typedef CGAL::AABB_tree<Traits> Tree;
template <class Kernel, class HalfedgeGraph>
void run(const HalfedgeGraph& graph){
typename Kernel::Point_3 p(1.0, 0.0, 0.0);
typename Kernel::Point_3 q(0.0, 1.0, 0.0);
typename Kernel::Point_3 r(0.0, 0.0, 1.0);
// constructs the AABB tree and the internal search tree for
// efficient distance queries.
Tree tree( CGAL::edges(graph).first,
CGAL::edges(graph).second, graph);
tree.accelerate_distance_queries();
// counts #intersections with a triangle query
Triangle triangle_query(p,q,r);
std::cout << tree.number_of_intersected_primitives(triangle_query)
<< " intersections(s) with triangle" << std::endl;
assert( tree.number_of_intersected_primitives(triangle_query )== 6);
// computes the closest point from a query point
typename Kernel::Point_3 point_query(2.0, 2.0, 2.0);
typename Kernel::Point_3 closest = tree.closest_point(point_query);
std::cerr << "closest point is: " << closest << std::endl;
}
int main()
{
Point p(1.0, 0.0, 0.0);
Point q(0.0, 1.0, 0.0);
Point r(0.0, 0.0, 1.0);
Point s(0.0, 0.0, 0.0);
Polyhedron polyhedron;
polyhedron.make_tetrahedron(p, q, r, s);
run<K>(polyhedron);
return EXIT_SUCCESS;
}
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