CGAL 6.2 - Optimal Transportation Curve Reconstruction

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Optimal_transportation_reconstruction_2/otr2_indexed_output_example.cpp
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Optimal_transportation_reconstruction_2.h>
#include <fstream>
#include <iostream>
#include <string>
#include <iterator>
#include <vector>
typedef CGAL::Exact_predicates_inexact_constructions_kernel K;
typedef K::FT FT;
typedef K::Point_2 Point;
typedef CGAL::Optimal_transportation_reconstruction_2<K> Otr_2;
void load_xy_file(const std::string& filename, std::vector<Point>& points)
{
std::ifstream ifs(filename.c_str());
Point point;
while (ifs >> point)
points.push_back(point);
ifs.close();
}
void indexed_output(Otr_2& otr2)
{
std::cout << "(-------------Off output---------- )" << std::endl;
std::vector<Point> points;
std::vector<std::size_t> isolated_vertices;
std::vector<std::pair<std::size_t,std::size_t> > edges;
otr2.indexed_output(
std::back_inserter(points),
std::back_inserter(isolated_vertices),
std::back_inserter(edges));
std::cout << "OFF " << points.size() << " 0 " << edges.size() << std::endl;
// points
std::vector<Point>::iterator pit;
for (pit = points.begin(); pit != points.end(); pit++)
std::cout << *pit << std::endl;
// isolated vertices
std::vector<std::size_t>::iterator vit;
for (vit = isolated_vertices.begin(); vit != isolated_vertices.end(); vit++)
std::cout << "1 " << *vit << std::endl;
// edges
std::vector<std::pair<std::size_t, std::size_t> >::iterator eit;
for (eit = edges.begin(); eit != edges.end(); eit++)
std::cout << "2 " << eit->first << " " << eit->second << std::endl;
}
int main ()
{
std::vector<Point> points;
load_xy_file("data/stair-noise00.xy", points);
Otr_2 otr2(points);
otr2.run(100); // 100 steps
indexed_output(otr2);
return 0;
}
CGAL::Exact_predicates_inexact_constructions_kernel
CGAL::Optimal_transportation_reconstruction_2
This class provides a means to reconstruct a 1-dimensional shape from a set of 2D points with masses.
Definition: Optimal_transportation_reconstruction_2.h:85