1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
#include <CGAL/Simple_cartesian.h>
#include <CGAL/Kd_tree.h>
#include <CGAL/point_generators_2.h>
#include <CGAL/algorithm.h>
#include <CGAL/Fuzzy_sphere.h>
#include <CGAL/Search_traits_2.h>
typedef CGAL::Simple_cartesian<double> K;
typedef K::Point_2 Point_d;
typedef CGAL::Random_points_in_square_2<Point_d> Random_points_iterator;
typedef CGAL::Search_traits_2<K> Traits;
typedef CGAL::Fuzzy_sphere<Traits> Fuzzy_circle;
typedef CGAL::Kd_tree<Traits> Tree;
int main()
{
const int N = 30;
Tree tree;
Random_points_iterator rpg;
for(int i = 0; i < N; i++)
tree.insert(*rpg++);
// fuzziness = 0
// Note that a fuzziness of 0 does not imply that we can gather exactly all the
// points within the disk: even with eps=0, the border is a fuzzy zone.
Point_d center(0., 0.);
Fuzzy_circle default_range(center, 0.5);
std::list<Point_d> result;
tree.search(std::back_inserter( result ), default_range);
std::cout << "The points in the fuzzy circle centered at (0., 0.) ";
std::cout << "with fuzzy radius (0.5, 0.5) are: " << std::endl;
std::copy (result.begin(),result.end(),std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
// approximate range searching using value 0.4 for fuzziness parameter
// We do not write into a list but directly in the output stream
std::cout << "The points in the fuzzy circle centered at (0., 0.) ";
std::cout << "with fuzzy radius (0.1, 0.9) are: " << std::endl;
Fuzzy_circle approximate_range(center, 0.5, 0.4);
tree.search(std::ostream_iterator<Point_d>(std::cout,"\n"), approximate_range);
return 0;
}
|
