// Copyright (c) 2007-09 INRIA Sophia-Antipolis (France). // All rights reserved. // // This file is part of CGAL (www.cgal.org). // 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. // // Licensees holding a valid commercial license may use this file in // accordance with the commercial license agreement provided with the software. // // This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE // WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. // // $URL$ // $Id$ // // Author(s) : Pierre Alliez, Marc Pouget and Laurent Saboret #ifndef CGAL_JET_SMOOTH_POINT_SET_H #define CGAL_JET_SMOOTH_POINT_SET_H #include #include #include #include #include #include #include #include #ifdef CGAL_LINKED_WITH_TBB #include #include #include #endif // CGAL_LINKED_WITH_TBB namespace CGAL { // ---------------------------------------------------------------------------- // Private section // ---------------------------------------------------------------------------- /// \cond SKIP_IN_MANUAL namespace internal { /// Smoothes one point position using jet fitting on the k /// nearest neighbors and reprojection onto the jet. /// /// \pre `k >= 2` /// /// @tparam Kernel Geometric traits class. /// @tparam Tree KD-tree. /// /// @return computed point template typename Kernel::Point_3 jet_smooth_point( const typename Kernel::Point_3& query, ///< 3D point to project Tree& tree, ///< KD-tree const unsigned int k, ///< number of neighbors. const unsigned int degree_fitting, const unsigned int degree_monge) { // basic geometric types typedef typename Kernel::Point_3 Point; // types for K nearest neighbors search typedef typename CGAL::Search_traits_3 Tree_traits; typedef typename CGAL::Orthogonal_k_neighbor_search Neighbor_search; typedef typename Neighbor_search::iterator Search_iterator; // types for jet fitting typedef Monge_via_jet_fitting< Kernel, Simple_cartesian, SvdTraits> Monge_jet_fitting; typedef typename Monge_jet_fitting::Monge_form Monge_form; // Gather set of (k+1) neighboring points. // Performs k + 1 queries (if unique the query point is // output first). Search may be aborted if k is greater // than number of input points. std::vector points; points.reserve(k+1); Neighbor_search search(tree,query,k+1); Search_iterator search_iterator = search.begin(); unsigned int i; for(i=0;i<(k+1);i++) { if(search_iterator == search.end()) break; // premature ending points.push_back(search_iterator->first); search_iterator++; } CGAL_point_set_processing_precondition(points.size() >= 1); // performs jet fitting Monge_jet_fitting monge_fit; Monge_form monge_form = monge_fit(points.begin(), points.end(), degree_fitting, degree_monge); // output projection of query point onto the jet return monge_form.origin(); } #ifdef CGAL_LINKED_WITH_TBB template class Jet_smooth_pwns { typedef typename Kernel::Point_3 Point; const Tree& tree; const unsigned int k; unsigned int degree_fitting; unsigned int degree_monge; const std::vector& input; std::vector& output; public: Jet_smooth_pwns (Tree& tree, unsigned int k, std::vector& points, unsigned int degree_fitting, unsigned int degree_monge, std::vector& output) : tree(tree), k (k), degree_fitting (degree_fitting), degree_monge (degree_monge), input (points), output (output) { } void operator()(const tbb::blocked_range& r) const { for( std::size_t i = r.begin(); i != r.end(); ++i) output[i] = CGAL::internal::jet_smooth_point(input[i], tree, k, degree_fitting, degree_monge); } }; #endif // CGAL_LINKED_WITH_TBB } /* namespace internal */ /// \endcond // ---------------------------------------------------------------------------- // Public section // ---------------------------------------------------------------------------- /// \ingroup PkgPointSetProcessing /// Smoothes the `[first, beyond)` range of points using jet fitting on the k /// nearest neighbors and reprojection onto the jet. /// As this method relocates the points, it /// should not be called on containers sorted w.r.t. point locations. /// /// \pre `k >= 2` /// /// @tparam Concurrency_tag enables sequential versus parallel algorithm. /// Possible values are `Sequential_tag` /// and `Parallel_tag`. /// @tparam InputIterator iterator over input points. /// @tparam PointPMap is a model of `ReadWritePropertyMap` with value type `Point_3`. /// It can be omitted if the value type of `InputIterator` is convertible to `Point_3`. /// @tparam Kernel Geometric traits class. /// It can be omitted and deduced automatically from the value type of `PointPMap`. /// @tparam SvdTraits template parameter for the class `Monge_via_jet_fitting` that /// can be ommited under conditions described in the documentation of `Monge_via_jet_fitting`. // This variant requires all parameters. template void jet_smooth_point_set( InputIterator first, ///< iterator over the first input point. InputIterator beyond, ///< past-the-end iterator over the input points. PointPMap point_pmap, ///< property map: value_type of InputIterator -> Point_3. unsigned int k, ///< number of neighbors. const Kernel& /*kernel*/, ///< geometric traits. unsigned int degree_fitting = 2, ///< fitting degree unsigned int degree_monge = 2) ///< Monge degree { // basic geometric types typedef typename Kernel::Point_3 Point; // types for K nearest neighbors search structure typedef typename CGAL::Search_traits_3 Tree_traits; typedef typename CGAL::Orthogonal_k_neighbor_search Neighbor_search; typedef typename Neighbor_search::Tree Tree; // precondition: at least one element in the container. // to fix: should have at least three distinct points // but this is costly to check CGAL_point_set_processing_precondition(first != beyond); // precondition: at least 2 nearest neighbors CGAL_point_set_processing_precondition(k >= 2); InputIterator it; // Instanciate a KD-tree search. // Note: We have to convert each input iterator to Point_3. std::vector kd_tree_points; for(it = first; it != beyond; it++) kd_tree_points.push_back(get(point_pmap, *it)); Tree tree(kd_tree_points.begin(), kd_tree_points.end()); // Iterates over input points and mutates them. // Implementation note: the cast to Point& allows to modify only the point's position. #ifndef CGAL_LINKED_WITH_TBB CGAL_static_assertion_msg (!(boost::is_convertible::value), "Parallel_tag is enabled but TBB is unavailable."); #else if (boost::is_convertible::value) { std::vector mutated_points (kd_tree_points.size ()); CGAL::internal::Jet_smooth_pwns f (tree, k, kd_tree_points, degree_fitting, degree_monge, mutated_points); tbb::parallel_for(tbb::blocked_range(0, kd_tree_points.size ()), f); unsigned int i = 0; for(it = first; it != beyond; ++ it, ++ i) { put(point_pmap, *it, mutated_points[i]); } } else #endif { for(it = first; it != beyond; it++) { typename boost::property_traits::reference p = get(point_pmap, *it); put(point_pmap, *it , internal::jet_smooth_point( p,tree,k,degree_fitting,degree_monge) ); } } } #if defined(CGAL_EIGEN3_ENABLED) || defined(CGAL_LAPACK_ENABLED) /// @cond SKIP_IN_MANUAL template void jet_smooth_point_set( InputIterator first, ///< iterator over the first input point. InputIterator beyond, ///< past-the-end iterator over the input points. PointPMap point_pmap, ///< property map: value_type of InputIterator -> Point_3. unsigned int k, ///< number of neighbors. const Kernel& kernel, ///< geometric traits. unsigned int degree_fitting = 2, ///< fitting degree unsigned int degree_monge = 2) ///< Monge degree { #ifdef CGAL_EIGEN3_ENABLED typedef Eigen_svd SvdTraits; #else typedef Lapack_svd SvdTraits; #endif jet_smooth_point_set( first, beyond, point_pmap, k, kernel, degree_fitting, degree_monge); } /// @cond SKIP_IN_MANUAL // This variant deduces the kernel from the point property map. template void jet_smooth_point_set( InputIterator first, ///< iterator over the first input point InputIterator beyond, ///< past-the-end iterator PointPMap point_pmap, ///< property map: value_type of InputIterator -> Point_3 unsigned int k, ///< number of neighbors. const unsigned int degree_fitting = 2, const unsigned int degree_monge = 2) { typedef typename boost::property_traits::value_type Point; typedef typename Kernel_traits::Kernel Kernel; jet_smooth_point_set( first,beyond, point_pmap, k, Kernel(), degree_fitting,degree_monge); } /// @endcond /// @cond SKIP_IN_MANUAL // This variant creates a default point property map = Identity_property_map. template void jet_smooth_point_set( InputIterator first, ///< iterator over the first input point InputIterator beyond, ///< past-the-end iterator unsigned int k, ///< number of neighbors. const unsigned int degree_fitting = 2, const unsigned int degree_monge = 2) { jet_smooth_point_set( first,beyond, make_identity_property_map( typename std::iterator_traits::value_type()), k, degree_fitting,degree_monge); } /// @endcond #endif } //namespace CGAL #endif // CGAL_JET_SMOOTH_POINT_SET_H