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+/* This file is part of the Gudhi Library. The Gudhi library
+ * (Geometric Understanding in Higher Dimensions) is a generic C++
+ * library for computational topology.
+ *
+ * Author(s): David Salinas
+ *
+ * Copyright (C) 2014 INRIA Sophia Antipolis-Mediterranee (France)
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
+
+#ifndef UTILS_K_NEAREST_BUILDER_H_
+#define UTILS_K_NEAREST_BUILDER_H_
+
+#include <CGAL/Euclidean_distance.h>
+#include <CGAL/Orthogonal_k_neighbor_search.h>
+#include <CGAL/Search_traits_d.h>
+#include <CGAL/Search_traits_adapter.h>
+#include <CGAL/property_map.h>
+
+#include <unordered_map>
+#include <list>
+#include <utility>
+
+#include "utils/UI_utils.h"
+#include "model/Complex_typedefs.h"
+
+template<typename SkBlComplex> class K_nearest_builder {
+ private:
+ typedef Geometry_trait Kernel;
+ typedef Point Point_d;
+ typedef std::pair<Point_d, unsigned> Point_d_with_id;
+ typedef CGAL::Search_traits_d<Kernel> Traits_base;
+ typedef CGAL::Search_traits_adapter<Point_d_with_id, CGAL::First_of_pair_property_map<Point_d_with_id>,
+ Traits_base> Traits;
+ typedef CGAL::Orthogonal_k_neighbor_search<Traits> Neighbor_search;
+ typedef Neighbor_search::Tree Tree;
+ typedef Neighbor_search::Distance Distance;
+
+ SkBlComplex& complex_;
+
+ public:
+ /**
+ * @brief Modify complex to be the expansion of the k-nearest neighbor
+ * symetric graph.
+ */
+ K_nearest_builder(SkBlComplex& complex, unsigned k) : complex_(complex) {
+ complex.keep_only_vertices();
+ compute_edges(k);
+ }
+
+ private:
+ double squared_eucl_distance(const Point& p1, const Point& p2) const {
+ return Geometry_trait::Squared_distance_d()(p1, p2);
+ }
+
+ void compute_edges(unsigned k) {
+ std::list<Point_d_with_id> points_with_id;
+ for (auto v : complex_.vertex_range()) {
+ Point_d_with_id point_v(complex_.point(v), v.vertex);
+ points_with_id.push_back(point_v);
+ }
+
+ Tree tree(points_with_id.begin(), points_with_id.end());
+
+ typedef typename SkBlComplex::Vertex_handle Vertex_handle;
+ for (auto p : complex_.vertex_range()) {
+ Neighbor_search search(tree, complex_.point(p), k + 1);
+ for (auto it = ++search.begin(); it != search.end(); ++it) {
+ Vertex_handle q(std::get<1>(it->first));
+ if (p != q && complex_.contains_vertex(p) && complex_.contains_vertex(q))
+ complex_.add_edge(p, q);
+ }
+ }
+ }
+};
+
+#endif // UTILS_K_NEAREST_BUILDER_H_