diff options
Diffstat (limited to 'src/GudhUI/utils/K_nearest_builder.h')
| -rw-r--r-- | src/GudhUI/utils/K_nearest_builder.h | 143 |
1 files changed, 77 insertions, 66 deletions
diff --git a/src/GudhUI/utils/K_nearest_builder.h b/src/GudhUI/utils/K_nearest_builder.h index b65a79e0..cab24b7c 100644 --- a/src/GudhUI/utils/K_nearest_builder.h +++ b/src/GudhUI/utils/K_nearest_builder.h @@ -1,81 +1,92 @@ -/* - * K_nearest_builder.h +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. * - * Created on: Sep 10, 2014 - * Author: dsalinas + * 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 K_NEAREST_BUILDER_H_ -#define K_NEAREST_BUILDER_H_ +#ifndef UTILS_K_NEAREST_BUILDER_H_ +#define UTILS_K_NEAREST_BUILDER_H_ -#include <unordered_map> -#include <boost/iterator/iterator_facade.hpp> #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 <CGAL/property_map.h> +#include <boost/iterator/iterator_facade.hpp> #include <boost/iterator/zip_iterator.hpp> +#include <unordered_map> +#include <tuple> +#include <list> + #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 boost::tuple<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::Nth_of_tuple_property_map<0, 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(boost::get<1>(it->first)); - if (p != q && complex_.contains_vertex(p) && complex_.contains_vertex(q)) - complex_.add_edge(p,q); - } - } - } - - +template<typename SkBlComplex> class K_nearest_builder { + private: + typedef Geometry_trait Kernel; + typedef Point Point_d; + typedef boost::tuple<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::Nth_of_tuple_property_map<0, 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(boost::get<1>(it->first)); + if (p != q && complex_.contains_vertex(p) && complex_.contains_vertex(q)) + complex_.add_edge(p, q); + } + } + } }; -#endif /* K_NEAREST_BUILDER_H_ */ +#endif // UTILS_K_NEAREST_BUILDER_H_ |