#ifndef CGAL_SURFACE_MESH_APPROXIMATION_VSA_APPROXIMATION_H #define CGAL_SURFACE_MESH_APPROXIMATION_VSA_APPROXIMATION_H #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB #include #endif namespace CGAL { /*! * \ingroup PkgTSMA * @brief Main class for Variational Shape Approximation algorithm. * @tparam TriangleMesh a CGAL TriangleMesh * @tparam VertexPointMap vertex point map * @tparam Proxy proxy type * @tparam ErrorMetric error metric type * @tparam ProxyFitting proxy fitting type * @tparam GeomTraits geometric traits type */ template class VSA_approximation { // Default typdefs typedef typename CGAL::Default::Get< GeomTraits_, typename Kernel_traits< typename boost::property_traits::value_type >::Kernel >::type GeomTraits; typedef typename CGAL::Default::Get >::type Proxy; typedef typename CGAL::Default::Get >::type ErrorMetric; typedef typename CGAL::Default::Get >::type ProxyFitting; // GeomTraits typedefs typedef typename GeomTraits::FT FT; typedef typename GeomTraits::Point_3 Point_3; typedef typename GeomTraits::Vector_3 Vector_3; typedef typename GeomTraits::Plane_3 Plane_3; typedef typename GeomTraits::Construct_vector_3 Construct_vector_3; typedef typename GeomTraits::Construct_scaled_vector_3 Construct_scaled_vector_3; typedef typename GeomTraits::Construct_sum_of_vectors_3 Construct_sum_of_vectors_3; typedef typename GeomTraits::Compute_scalar_product_3 Compute_scalar_product_3; // graph_traits typedefs typedef typename boost::graph_traits::vertex_descriptor vertex_descriptor; typedef typename boost::graph_traits::halfedge_descriptor halfedge_descriptor; typedef typename boost::graph_traits::edge_descriptor edge_descriptor; typedef typename boost::graph_traits::face_descriptor face_descriptor; // internal typedefs typedef boost::associative_property_map > VertexAnchorMap; typedef std::vector ChordVector; typedef typename ChordVector::iterator ChordVectorIterator; // The proxy wrapper for approximation. struct ProxyWrapper { ProxyWrapper(const Proxy &_p, const face_descriptor &_s) : px(_p), seed(_s), err(0) {} Proxy px; // parameterized proxy face_descriptor seed; // proxy seed FT err; // proxy fitting error }; // The proxy fitting plane for meshing. struct ProxyPlane { ProxyPlane(const Plane_3 &_p, const Vector_3 &_n, const FT &_a) : plane(_p), normal(_n), area(_a) {} Plane_3 plane; Vector_3 normal; FT area; }; // The facet candidate to be queued. struct FacetToIntegrate { FacetToIntegrate(const face_descriptor &_f, const std::size_t &_px, const FT &_err) : f(_f), px(_px), err(_err) {} bool operator<(const FacetToIntegrate &rhs) const { return err > rhs.err; } face_descriptor f; // facet std::size_t px; // proxy index FT err; // fitting error }; // Proxy error with its index. struct ProxyError { ProxyError(const std::size_t &_px, const FT &_err) : px(_px), err(_err) {} // in ascending order bool operator<(const ProxyError &rhs) const { return err < rhs.err; } std::size_t px; FT err; }; // The average positioned anchor attached to a vertex. struct Anchor { Anchor(const vertex_descriptor &_vtx, const Point_3 _pos) : vtx(_vtx), pos(_pos) {} vertex_descriptor vtx; // The associated vertex. Point_3 pos; // The position of the anchor. }; // The border cycle of a region. // One region may have multiple border cycles. struct Border { Border(const halfedge_descriptor &h) : he_head(h), num_anchors(0) {} halfedge_descriptor he_head; // The heading halfedge of the border cylce. std::size_t num_anchors; // The number of anchors on the border. }; // Triangle polyhedron builder. template class TrianglePolyhedronBuilder : public CGAL::Modifier_base { public: const std::vector &vtxs; const std::vector &tris; bool is_manifold; TrianglePolyhedronBuilder(const std::vector &_vtxs, const std::vector &_tris) : vtxs(_vtxs), tris(_tris), is_manifold(true) {} void operator()(HDS &hds) { CGAL::Polyhedron_incremental_builder_3 builder(hds, true); typedef typename HDS::Vertex Vertex; typedef typename Vertex::Point Point; builder.begin_surface(vtxs.size(), tris.size() / 3); BOOST_FOREACH(const Point_3 &v, vtxs) builder.add_vertex(Point(v)); for (std::vector::const_iterator itr = tris.begin(); itr != tris.end(); itr += 3) { if (builder.test_facet(itr, itr + 3)) { builder.begin_facet(); builder.add_vertex_to_facet(*itr); builder.add_vertex_to_facet(*(itr + 1)); builder.add_vertex_to_facet(*(itr + 2)); builder.end_facet(); } else { builder.end_surface(); is_manifold = false; return; } } builder.end_surface(); } }; // member variables // The triangle mesh. const TriangleMesh *m_pmesh; // The mesh vertex point map. VertexPointMap point_pmap; // The error metric. const ErrorMetric *fit_error; // The proxy fitting functor. const ProxyFitting *proxy_fitting; Construct_vector_3 vector_functor; Construct_scaled_vector_3 scale_functor; Construct_sum_of_vectors_3 sum_functor; Compute_scalar_product_3 scalar_product_functor; // The facet proxy index map. std::map internal_fidx_map; boost::associative_property_map > seg_pmap; // The attached anchor index of a vertex. std::map vertex_int_map; VertexAnchorMap vanchor_map; // Proxies. std::vector proxies; // Proxy planes std::vector px_planes; // All anchors. std::vector anchors; // All borders cycles. std::vector borders; // The indexed triangle approximation. std::vector tris; //member functions public: enum Initialization { RandomInit, IncrementalInit, HierarchicalInit }; /*! * %Default constructor. */ VSA_approximation() : m_pmesh(NULL), fit_error(NULL), proxy_fitting(NULL), seg_pmap(internal_fidx_map), vanchor_map(vertex_int_map) { GeomTraits traits; vector_functor = traits.construct_vector_3_object(); scale_functor = traits.construct_scaled_vector_3_object(); sum_functor = traits.construct_sum_of_vectors_3_object(); scalar_product_functor = traits.compute_scalar_product_3_object(); } /*! * Initialize and prepare for the approximation. * @param _mesh `CGAL TriangleMesh` on which approximation operate. * @param _point_map vertex point map of the mesh */ VSA_approximation(const TriangleMesh &_mesh, const VertexPointMap &_point_pmap) : m_pmesh(&_mesh), point_pmap(_point_pmap), fit_error(NULL), proxy_fitting(NULL), seg_pmap(internal_fidx_map), vanchor_map(vertex_int_map) { GeomTraits traits; vector_functor = traits.construct_vector_3_object(); scale_functor = traits.construct_scaled_vector_3_object(); sum_functor = traits.construct_sum_of_vectors_3_object(); scalar_product_functor = traits.compute_scalar_product_3_object(); } /*! * Set the mesh for approximation and rebuild the internal data structure. * @pre @a _mesh.is_pure_triangle() * @param _mesh `CGAL TriangleMesh` on which approximation operate. * @param _point_map vertex point map of the mesh */ void set_mesh(const TriangleMesh &_mesh, const VertexPointMap &_point_pmap) { m_pmesh = &_mesh; point_pmap = _point_pmap; rebuild(); } /*! * Set the error and fitting functor. * @param _error_metric a `ErrorMetric` functor. * @param _proxy_fitting a `ProxyFitting` functor. */ void set_metric(const ErrorMetric &_error_metric, const ProxyFitting &_proxy_fitting) { fit_error = &_error_metric; proxy_fitting = &_proxy_fitting; } /*! * Rebuild the internal data structure. */ void rebuild() { // rebuild inter data structure proxies.clear(); internal_fidx_map.clear(); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) internal_fidx_map[f] = 0; vertex_int_map.clear(); BOOST_FOREACH(vertex_descriptor v, vertices(*m_pmesh)) vertex_int_map.insert(std::pair(v, 0)); } /*! * @brief Initialize by number of proxies. * @param num_proxy number of proxies * @param seeding_method select one of the seeding method: random, hierarchical, incremental * @return number of proxies initialized */ std::size_t init_proxies(const std::size_t num_proxy, const Initialization &seeding_method) { proxies.clear(); if (num_faces(*m_pmesh) < num_proxy) return 0; switch (seeding_method) { case IncrementalInit: return seed_incremental(num_proxy); case HierarchicalInit: return seed_hierarchical(num_proxy); default: return seed_random(num_proxy); } } /*! * @brief Initialize by targeted error drop. * @param target_drop targeted error drop to initial state, usually in range (0, 1) * @param seeding_method select one of the seeding method: random, hierarchical, incremental * @return number of proxies initialized */ std::size_t init_proxies_error(const FT &target_drop, const Initialization &seeding_method) { proxies.clear(); // initialize a proxy and the proxy map to prepare for the insertion proxies.push_back(fit_new_proxy(*(faces(*m_pmesh).first))); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) seg_pmap[f] = 0; const FT initial_err = compute_fitting_error(); // maximum allowed number of proxies const std::size_t max_proxies = num_faces(*m_pmesh) / 3; if (max_proxies < 1) return 0; FT sum_err(0); FT drop(0); if (seeding_method == RandomInit) { std::size_t target_px = 2; do { proxies.clear(); seed_random(target_px); for (std::size_t i = 0; i < 5; ++i) { partition(); fit(); } sum_err = compute_fitting_error(); target_px *= 2; drop = sum_err / initial_err; } while(drop > target_drop && proxies.size() < max_proxies); } else if (seeding_method == IncrementalInit) { do { insert_proxy_furthest(); for (std::size_t i = 0; i < 5; ++i) { partition(); fit(); } sum_err = compute_fitting_error(); drop = sum_err / initial_err; } while (drop > target_drop && proxies.size() < max_proxies); } else { std::size_t target_px = 1; do { insert_proxy_hierarchical(target_px); for (std::size_t i = 0; i < 5; ++i) { partition(); fit(); } sum_err = compute_fitting_error(); target_px *= 2; drop = sum_err / initial_err; } while(drop > target_drop && proxies.size() < max_proxies); } return proxies.size(); } /*! * @brief This function run the algorithm by one step, * including the partitioning and fitting process. * @return the total fitting error of current partition to the proxies. */ FT run_one_step() { partition(); fit(); return compute_fitting_error(); } /*! * @brief This function run the algorithm until the no significant energy drop. * @param drop_threshold the percentage of energy drop to between two runs, usually in range [0, 1). * @param max_iterations the maximum number of iterations allowed * @return true if the algorithm converge, false otherwise. */ bool run_until_convergence(const FT drop_threshold = FT(0.05), const std::size_t max_iterations = 100) { FT drop_pct(0); std::size_t iteration_count = 0; FT pre_err = compute_fitting_error(); do { // average 5 steps to have smoother drop curve FT avg_sum_err(0); for (std::size_t i = 0; i < 5; ++i) avg_sum_err += run_one_step(); avg_sum_err /= FT(5); iteration_count += 5; drop_pct = (pre_err - avg_sum_err) / pre_err; if (drop_pct < FT(0)) drop_pct = -drop_pct; if (drop_pct < drop_threshold) return true; pre_err = avg_sum_err; } while (iteration_count < max_iterations); return false; } /*! * @brief Partition the geometry with current proxies. * Propagates the proxy seed facets and floods the whole mesh to minimize the fitting error. */ void partition() { #define CGAL_NOT_TAGGED_ID std::numeric_limits::max() BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) seg_pmap[f] = CGAL_NOT_TAGGED_ID; std::priority_queue facet_pqueue; for (std::size_t i = 0; i < proxies.size(); ++i) { face_descriptor f = proxies[i].seed; seg_pmap[f] = i; BOOST_FOREACH(face_descriptor fadj, faces_around_face(halfedge(f, *m_pmesh), *m_pmesh)) { if (fadj != boost::graph_traits::null_face() && seg_pmap[fadj] == CGAL_NOT_TAGGED_ID) { facet_pqueue.push(FacetToIntegrate( fadj, i, (*fit_error)(fadj, proxies[i].px))); } } } while (!facet_pqueue.empty()) { const FacetToIntegrate c = facet_pqueue.top(); facet_pqueue.pop(); if (seg_pmap[c.f] == CGAL_NOT_TAGGED_ID) { seg_pmap[c.f] = c.px; BOOST_FOREACH(face_descriptor fadj, faces_around_face(halfedge(c.f, *m_pmesh), *m_pmesh)) { if (fadj != boost::graph_traits::null_face() && seg_pmap[fadj] == CGAL_NOT_TAGGED_ID) { facet_pqueue.push(FacetToIntegrate( fadj, c.px, (*fit_error)(fadj, proxies[c.px].px))); } } } } #undef CGAL_NOT_TAGGED_ID } /*! * @brief Refitting of current partitioning, update proxy parameters. * Calculates and updates the fitting proxies of current partition. */ void fit() { std::vector > px_facets(proxies.size()); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) px_facets[seg_pmap[f]].push_back(f); // update proxy parameters and seed for (std::size_t i = 0; i < proxies.size(); ++i) proxies[i] = fit_new_proxy(px_facets[i].begin(), px_facets[i].end()); } /*! * @brief Adding proxies. The proxies are not updated via fitting process. * @param num_proxies number of proxies * @param adding_method select one of the adding method: hierarchical or incremental(furthest). * @param inner_iteration the coarse re-fitting iteration before incremental insertion * @return number of proxies successfully added. */ std::size_t add_proxies(const Initialization &adding_method, const std::size_t &num_proxies = 1, const std::size_t inner_iteration = 5) { switch (adding_method) { case HierarchicalInit: return insert_proxy_hierarchical(num_proxies); case IncrementalInit: return insert_proxy_furthest(num_proxies, inner_iteration); default: return 0; } } /*! * @brief Teleport the local minima to the worst region, this combines the merging and adding processes. * The partitioning are updated. * Here if we specify more than one proxy this means we teleport in a naive iterative fashion. * @param num_proxies number of proxies request to teleport * @param if_test true if do the merge test before the teleportation (attempt to escape from local minima). * @return number of proxies teleported. */ std::size_t teleport_proxies(const std::size_t &num_proxies, const bool &if_test = true) { std::size_t num_teleported = 0; while (num_teleported < num_proxies) { // find worst proxy std::vector px_error(proxies.size(), FT(0)); compute_fitting_error(px_error); std::size_t px_worst = 0; FT max_error = px_error.front(); for (std::size_t i = 0; i < proxies.size(); ++i) { if (max_error < px_error[i]) { max_error = px_error[i]; px_worst = i; } } bool found = false; face_descriptor tele_to; BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { if (found) break; if (seg_pmap[f] == px_worst) { if (f != proxies[px_worst].seed) { tele_to = f; found = true; } } } // no where to teleport if (!found) return num_teleported; // find the best merge pair std::size_t px_enlarged = 0, px_merged = 0; if (!find_best_merge(px_enlarged, px_merged, if_test)) return num_teleported; if (px_worst == px_enlarged || px_worst == px_merged) return num_teleported; // teleport to a facet to the worst region seg_pmap[tele_to] = proxies.size(); proxies.push_back(fit_new_proxy(tele_to)); merge(px_enlarged, px_merged); num_teleported++; // coarse re-fitting for (std::size_t i = 0; i < 5; ++i) { partition(); fit(); } #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB std::cerr << "teleported" << std::endl; #endif } return num_teleported; } /*! * @brief Merge two specified adjacent regions. * The overall re-fitting is not performed and the proxy map is maintained. * @pre two proxies must be adjacent * @param px0 the enlarged proxy * @param px1 the merged proxy * @return change of error */ FT merge(std::size_t px0, std::size_t px1) { if (px0 >= proxies.size() || px1 >= proxies.size() || px0 == px1) return FT(0); // ensure px0 < px1 if (px0 > px1) std::swap(px0, px1); // merge px1 to px0 FT err_sum(0); std::list merged_patch; BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { std::size_t px_idx = seg_pmap[f]; if (px_idx == px1) { err_sum += (*fit_error)(f, proxies[px_idx].px); seg_pmap[f] = px0; merged_patch.push_back(f); } else if (px_idx == px0) { err_sum += (*fit_error)(f, proxies[px_idx].px); merged_patch.push_back(f); } } proxies[px0] = fit_new_proxy(merged_patch.begin(), merged_patch.end()); proxies.erase(proxies.begin() + px1); // update facet proxy map BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { if (seg_pmap[f] > px1) --seg_pmap[f]; } FT err_merged(0); BOOST_FOREACH(face_descriptor f, merged_patch) err_merged += (*fit_error)(f, proxies[px0].px); return err_merged - err_sum; } /*! * @brief Find the best two regions to merge. * TODO: define 'best', it is minimum merged sum error now * @param px_enlarged the proxy to be enlarged * @param px_merged the proxy to be merged * @param if_test set true to activate the merge test * @return true if found, false otherwise */ bool find_best_merge(std::size_t &px_enlarged, std::size_t &px_merged, const bool if_test) { typedef typename boost::graph_traits::edge_descriptor edge_descriptor; typedef std::pair ProxyPair; typedef std::set MergedPair; std::vector > px_facets(proxies.size()); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) px_facets[seg_pmap[f]].push_back(f); // find best merge MergedPair merged_set; // Proxy merged_px; FT min_merged_error = FT(0); bool first_merge = true; BOOST_FOREACH(edge_descriptor e, edges(*m_pmesh)) { if (CGAL::is_border(e, *m_pmesh)) continue; std::size_t pxi = seg_pmap[face(halfedge(e, *m_pmesh), *m_pmesh)]; std::size_t pxj = seg_pmap[face(opposite(halfedge(e, *m_pmesh), *m_pmesh), *m_pmesh)]; if (pxi == pxj) continue; if (pxi > pxj) std::swap(pxi, pxj); if (merged_set.find(ProxyPair(pxi, pxj)) != merged_set.end()) continue; std::list merged_patch(px_facets[pxi]); BOOST_FOREACH(face_descriptor f, px_facets[pxj]) merged_patch.push_back(f); ProxyWrapper px = fit_new_proxy(merged_patch.begin(), merged_patch.end()); FT sum_error(0); BOOST_FOREACH(face_descriptor f, merged_patch) sum_error += (*fit_error)(f, px.px); merged_set.insert(ProxyPair(pxi, pxj)); if (first_merge || sum_error < min_merged_error) { first_merge = false; min_merged_error = sum_error; // merged_px = px; px_enlarged = pxi; px_merged = pxj; } } std::vector px_error(proxies.size(), FT(0)); compute_fitting_error(px_error); FT max_error = px_error.front(); for (std::size_t i = 0; i < proxies.size(); ++i) { if (max_error < px_error[i]) max_error = px_error[i]; } // test if merge worth it if (if_test) { const FT merge_thre = max_error / FT(2); const FT increase = min_merged_error - (px_error[px_enlarged] + px_error[px_merged]); if (increase > merge_thre) return false; } return true; } /*! * @brief Split one proxy by default bisection, but N-section is also possible * No re-fitting performed and the proxy map is maintained. * @param px proxy index * @param n split section * @return change of error */ FT split(const std::size_t px, const std::size_t n = 2) { if (px >= proxies.size()) return FT(0); std::size_t count = 1; FT err(0); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { if (count >= n) break; if (seg_pmap[f] == px && f != proxies[px].seed) { err += (*fit_error)(f, proxies[px].px); seg_pmap[f] = proxies.size(); proxies.push_back(fit_new_proxy(f)); ++count; } } return err; } /*! * @brief Meshing, choose the default area weighted or the PCA plane fitting. * @tparam PolyhedronSurface should be `CGAL::Polyhedron_3` * @param[out] tm_out output triangle mesh * @param split_criterion boundary approximation recursively split criterion * @param pca_plane if use PCA plane fitting method * @return true if output triangle mesh is manifold,false otherwise. */ template bool meshing(PolyhedronSurface &tm_out, const FT split_criterion = FT(0.2), bool pca_plane = false) { // initialize all vertex anchor status enum Vertex_status { NO_ANCHOR = -1 }; BOOST_FOREACH(vertex_descriptor v, vertices(*m_pmesh)) vertex_int_map[v] = static_cast(NO_ANCHOR); anchors.clear(); borders.clear(); tris.clear(); px_planes.clear(); init_proxy_planes(pca_plane); find_anchors(); find_edges(split_criterion); add_anchors(); pseudo_CDT(); return build_polyhedron_surface(tm_out); } /*! * @brief Get the facet-proxy index map. * @tparam FacetProxyMap `WritablePropertyMap` with * `boost::graph_traits::%face_descriptor` as key and `std::size_t` as value type * @param[out] facet_proxy_map facet proxy index map */ template void get_proxy_map(FacetProxyMap &facet_proxy_map) { BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) facet_proxy_map[f] = seg_pmap[f]; } /*! * @brief Get the proxies. * @tparam OutputIterator output iterator with Proxy as value type * @param out_itr output iterator */ template void get_proxies(OutputIterator out_itr) { BOOST_FOREACH(const ProxyWrapper &pxw, proxies) { *out_itr = pxw.px; ++out_itr; } } /*! * @brief Get the proxies size. * @return number of proxies */ std::size_t get_proxies_size() { return proxies.size(); } /*! * @brief Get the anchor points, which have the area-averaged position of the projected anchor vertex points on the incident proxies. * @tparam OutputIterator output iterator with Point_3 as value type * @param out_itr output iterator */ template void get_anchor_points(OutputIterator out_itr) { BOOST_FOREACH(const Anchor &a, anchors) { *out_itr = a.pos; ++out_itr; } } /*! * @brief Get the anchor vertices. * @tparam OutputIterator output iterator with vertex_descriptor as value type * @param out_itr output iterator */ template void get_anchor_vertices(OutputIterator out_itr) { BOOST_FOREACH(const Anchor &a, anchors) { *out_itr = a.vtx; ++out_itr; } } /*! * @brief Get the indexed triangles, one triplet of integers per triangles, and that the integers refer to the anchor point indexes. * @tparam OutputIterator output iterator with std::size_t as value type * @param out_itr output iterator */ template void get_indexed_triangles(OutputIterator out_itr) { BOOST_FOREACH(const int &i, tris) { *out_itr = i; ++out_itr; } } /*! * @brief Get the indexed boundary polygon approximation. * @return vector of indexed polygons. */ std::vector > get_indexed_boundary_polygons() { std::vector > bdrs; for (typename std::vector::iterator bitr = borders.begin(); bitr != borders.end(); ++bitr) { std::vector bdr; const halfedge_descriptor he_mark = bitr->he_head; halfedge_descriptor he = he_mark; do { ChordVector chord; walk_to_next_anchor(he, chord); bdr.push_back(vanchor_map[target(he, *m_pmesh)]); } while(he != he_mark); bdrs.push_back(bdr); } return bdrs; } private: /*! * @brief Random initialize proxies. * @param initial_px number of proxies * @return number of proxies initialized */ std::size_t seed_random(const std::size_t initial_px) { const std::size_t interval = num_faces(*m_pmesh) / initial_px; std::size_t index = 0; BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { if ((index++) % interval == 0) { proxies.push_back(fit_new_proxy(f)); } if (proxies.size() >= initial_px) break; } return proxies.size(); } /*! * @brief Incremental initialize proxies. * @param initial_px number of proxies * @param inner_iteration number of iterations of coarse re-fitting * before each incremental proxy insertion * @return number of proxies initialized */ std::size_t seed_incremental(const std::size_t initial_px, const std::size_t inner_iteration = 5) { // initialize a proxy and the proxy map to prepare for the insertion proxies.push_back(fit_new_proxy(*(faces(*m_pmesh).first))); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) seg_pmap[f] = 0; insert_proxy_furthest(initial_px - 1, inner_iteration); return proxies.size(); } /*! * @brief Hierarchical initialize proxies. * @param initial_px number of proxies * @param inner_iteration number of iterations of coarse re-fitting * before each hierarchical proxy insertion * @return number of proxies initialized */ std::size_t seed_hierarchical(const std::size_t initial_px, const std::size_t inner_iteration = 5) { // initialize 2 proxy typename boost::graph_traits::face_iterator fitr = faces(*m_pmesh).first; proxies.push_back(fit_new_proxy(*fitr)); proxies.push_back(fit_new_proxy(*(++fitr))); while (proxies.size() < initial_px) { for (std::size_t i = 0; i < inner_iteration; ++i) { partition(); fit(); } // add proxies by error diffusion const std::size_t num_proxies = proxies.size(); const std::size_t num_proxies_to_be_added = (num_proxies * 2 < initial_px) ? num_proxies : (initial_px - num_proxies); insert_proxy_hierarchical(num_proxies_to_be_added); } return proxies.size(); } /*! * @brief Inserts a proxy at the furthest facet of the region with the maximum fitting error. * No re-fitting is performed. * @return true if insertion success, false otherwise */ bool insert_proxy_furthest() { std::vector px_error(proxies.size(), FT(0.0)); std::vector max_facet_error(proxies.size(), FT(0.0)); std::vector max_facet(proxies.size()); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { std::size_t px_idx = seg_pmap[f]; FT err = (*fit_error)(f, proxies[px_idx].px); px_error[px_idx] += err; if (err > max_facet_error[px_idx]) { max_facet_error[px_idx] = err; max_facet[px_idx] = f; } } FT max_px_error = px_error.front(); std::size_t max_px_idx = 0; for (std::size_t i = 0; i < proxies.size(); ++i) { if (px_error[i] > max_px_error) { max_px_error = px_error[i]; max_px_idx = i; } } if (max_facet[max_px_idx] == proxies[max_px_idx].seed) return false; proxies.push_back(fit_new_proxy(max_facet[max_px_idx])); return true; } /*! * @brief Inserts more than one proxies to the regions with the maximum fitting error. * Except for the first one, a coarse re-fitting is performed before each proxy is inserted. * @param num_proxies number of proxies to be inserted * @param inner_iteration the number of iterations of coarse re-fitting * @return number of proxies inserted */ std::size_t insert_proxy_furthest(const std::size_t num_proxies, const std::size_t inner_iteration = 5) { // when insert only one proxy, it has the same effect of insert_proxy_furthest() if (num_proxies == 0 || !insert_proxy_furthest()) return 0; std::size_t num_inserted = 1; for (; num_inserted < num_proxies; ++num_inserted) { for (std::size_t i = 0; i < inner_iteration; ++i) { partition(); fit(); } if (!insert_proxy_furthest()) return num_inserted; } return num_inserted; } /*! * @brief Add proxies by diffusing fitting error into current partitions. * Each partition is added with the number of proxies in proportional to its fitting error. * Note that the number of inserted proxies doesn't necessarily equal the requested number. * @param num_proxies_to_be_added added number of proxies * @return inserted number of proxies */ std::size_t insert_proxy_hierarchical(const std::size_t num_proxies_to_be_added) { #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB std::cerr << "#px " << proxies.size() << std::endl; #endif std::vector err(proxies.size(), FT(0)); const FT sum_error = compute_fitting_error(err); const FT avg_error = sum_error / FT(static_cast(num_proxies_to_be_added)); std::vector px_error; for (std::size_t i = 0; i < proxies.size(); ++i) px_error.push_back(ProxyError(i, err[i])); // sort partition by error std::sort(px_error.begin(), px_error.end()); // number of proxies to be added to each region std::vector num_to_add(proxies.size(), 0); // residual from previous proxy in range (-0.5, 0.5] * avg_error FT residual(0); BOOST_FOREACH(const ProxyError &pxe, px_error) { // add error residual from previous proxy // to_add maybe negative but greater than -0.5 FT to_add = (residual + pxe.err) / avg_error; // floor_to_add maybe negative but no less than -1 FT floor_to_add = FT(std::floor(CGAL::to_double(to_add))); const std::size_t q_to_add = static_cast(CGAL::to_double( ((to_add - floor_to_add) > FT(0.5)) ? (floor_to_add + FT(1)) : floor_to_add)); residual = (to_add - FT(static_cast(q_to_add))) * avg_error; num_to_add[pxe.px] = q_to_add; } #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB for (std::size_t i = 0; i < px_error.size(); ++i) std::cerr << "#px " << px_error[i].px << ", #error " << px_error[i].err << ", #num_to_add " << num_to_add[px_error[i].px] << std::endl; #endif std::size_t num_inserted = 0; BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { const std::size_t px_id = seg_pmap[f]; if (proxies[px_id].seed == f) continue; if (num_to_add[px_id] > 0) { proxies.push_back(fit_new_proxy(f)); --num_to_add[px_id]; ++num_inserted; } } #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB std::cerr << "#requested/inserted " << num_proxies_to_be_added << '/' << num_inserted << std::endl; #endif return num_inserted; } /*! * @brief Fitting a new proxy. * 1. Fit proxy parameters from a list of facets. * 2. Set seed. * @tparam FacetIterator face_descriptor container iterator * @param beg container begin * @param end container end */ template ProxyWrapper fit_new_proxy(const FacetIterator &beg, const FacetIterator &end) { CGAL_assertion(beg != end); // use proxy_fitting functor to fit proxy parameters Proxy px = (*proxy_fitting)(beg, end); // find proxy seed face_descriptor seed = *beg; FT err_min = (*fit_error)(*beg, px); std::pair facets(beg, end); BOOST_FOREACH(face_descriptor f, facets) { FT err = (*fit_error)(f, px); if (err < err_min) { err_min = err; seed = f; } } return ProxyWrapper(px, seed); } /*! * @brief Fitting a new proxy from a single facet. * 1. Fit proxy parameters from one facet. * 2. Set seed. * @param face_descriptor facet */ ProxyWrapper fit_new_proxy(const face_descriptor &f) { std::vector fvec(1, f); // fit proxy parameters Proxy px = (*proxy_fitting)(fvec.begin(), fvec.end()); return ProxyWrapper(px, f); } /*! * @brief Computes fitting error of a current partition and proxies. * @return total fitting error */ FT compute_fitting_error() { FT sum_error(0); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) sum_error += (*fit_error)(f, proxies[seg_pmap[f]].px); return sum_error; } /*! * @brief Computes fitting error of a current partition and proxies. * @param px_error vector of error of each proxy * @return total fitting error */ FT compute_fitting_error(std::vector &px_error) { FT sum_error(0); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { const std::size_t px_idx = seg_pmap[f]; FT err = (*fit_error)(f, proxies[px_idx].px); px_error[px_idx] += err; sum_error += err; } return sum_error; } /*! * @brief Initialize proxy planes. * @param if_pca_plane true to use the PCA plane fitting */ void init_proxy_planes(const bool if_pca_plane) { // fit proxy planes, areas, normals std::vector > px_facets(proxies.size()); BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) px_facets[seg_pmap[f]].push_back(f); BOOST_FOREACH(const std::list &px_patch, px_facets) { Plane_3 fit_plane = if_pca_plane ? fit_plane_pca(px_patch.begin(), px_patch.end()) : fit_plane_area_averaged(px_patch.begin(), px_patch.end()); Vector_3 norm = CGAL::NULL_VECTOR; FT area(0); BOOST_FOREACH(face_descriptor f, px_patch) { halfedge_descriptor he = halfedge(f, *m_pmesh); const Point_3 p0 = point_pmap[source(he, *m_pmesh)]; const Point_3 p1 = point_pmap[target(he, *m_pmesh)]; const Point_3 p2 = point_pmap[target(next(he, *m_pmesh), *m_pmesh)]; FT farea(std::sqrt(CGAL::to_double(CGAL::squared_area(p0, p1, p2)))); Vector_3 fnorm = CGAL::unit_normal(p0, p1, p2); norm = sum_functor(norm, scale_functor(fnorm, farea)); area += farea; } norm = scale_functor(norm, FT(1.0 / std::sqrt(CGAL::to_double(norm.squared_length())))); px_planes.push_back(ProxyPlane(fit_plane, norm, area)); } } /*! * @brief Finds the anchors. */ void find_anchors() { BOOST_FOREACH(vertex_descriptor vtx, vertices(*m_pmesh)) { std::size_t border_count = 0; BOOST_FOREACH(halfedge_descriptor h, halfedges_around_target(vtx, *m_pmesh)) { if (CGAL::is_border_edge(h, *m_pmesh)) ++border_count; else if (seg_pmap[face(h, *m_pmesh)] != seg_pmap[face(opposite(h, *m_pmesh), *m_pmesh)]) ++border_count; } if (border_count >= 3) attach_anchor(vtx); } } /*! * @brief Finds and approximates the edges connecting the anchors. * @param split_criterion edge approximation recursive split creterion */ void find_edges(const FT split_criterion) { // collect candidate halfedges in a set std::set he_candidates; BOOST_FOREACH(halfedge_descriptor h, halfedges(*m_pmesh)) { if (!CGAL::is_border(h, *m_pmesh) && (CGAL::is_border(opposite(h, *m_pmesh), *m_pmesh) || seg_pmap[face(h, *m_pmesh)] != seg_pmap[face(opposite(h, *m_pmesh), *m_pmesh)])) he_candidates.insert(h); } // pick up one candidate halfedge each time and traverse the connected border while (!he_candidates.empty()) { halfedge_descriptor he_start = *he_candidates.begin(); walk_to_first_anchor(he_start); // no anchor in this connected border, make a new anchor if (!is_anchor_attached(he_start)) attach_anchor(he_start); // a new connected border borders.push_back(Border(he_start)); #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB std::cerr << "#border " << borders.size() << std::endl; #endif const halfedge_descriptor he_mark = he_start; do { ChordVector chord; walk_to_next_anchor(he_start, chord); borders.back().num_anchors += subdivide_chord(chord.begin(), chord.end(), split_criterion); #ifdef CGAL_SURFACE_MESH_APPROXIMATION_DEGUB std::cerr << "#chord_anchor " << borders.back().num_anchors << std::endl; #endif for (ChordVectorIterator citr = chord.begin(); citr != chord.end(); ++citr) he_candidates.erase(*citr); } while (he_start != he_mark); } } /*! * @brief Adds anchors to the border cycles with only 2 anchors. */ void add_anchors() { typedef typename std::vector::iterator BorderIterator; for (BorderIterator bitr = borders.begin(); bitr != borders.end(); ++bitr) { if (bitr->num_anchors > 2) continue; // 2 initial anchors at least CGAL_assertion(bitr->num_anchors == 2); // borders with only 2 initial anchors const halfedge_descriptor he_mark = bitr->he_head; Point_3 pt_begin = point_pmap[target(he_mark, *m_pmesh)]; Point_3 pt_end = pt_begin; halfedge_descriptor he = he_mark; ChordVector chord; std::size_t count = 0; do { walk_to_next_border_halfedge(he); if (!is_anchor_attached(he)) chord.push_back(he); else { if (count == 0) pt_end = point_pmap[target(he, *m_pmesh)]; ++count; } } while(he != he_mark); // anchor count may be increased to more than 2 afterwards // due to the new anchors added by the neighboring border (< 2 anchors) if (count > 2) { bitr->num_anchors = count; continue; } FT dist_max(0.0); halfedge_descriptor he_max; Vector_3 chord_vec = vector_functor(pt_begin, pt_end); chord_vec = scale_functor(chord_vec, FT(1.0 / std::sqrt(CGAL::to_double(chord_vec.squared_length())))); for (ChordVectorIterator citr = chord.begin(); citr != chord.end(); ++citr) { Vector_3 vec = vector_functor(pt_begin, point_pmap[target(*citr, *m_pmesh)]); vec = CGAL::cross_product(chord_vec, vec); FT dist(std::sqrt(CGAL::to_double(vec.squared_length()))); if (dist > dist_max) { dist_max = dist; he_max = *citr; } } attach_anchor(he_max); // increase border anchors by one bitr->num_anchors++; } } /*! * @brief Runs the pseudo Constrained Delaunay Triangulation at each region, and stores the extracted indexed triangles in @a tris. */ void pseudo_CDT() { // subgraph attached with vertex anchor status and edge weight typedef boost::property > VertexProperty; typedef boost::property > EdgeProperty; typedef boost::subgraph > SubGraph; typedef typename boost::property_map::type VertexIndex1Map; typedef typename boost::property_map::type VertexIndex2Map; typedef typename boost::property_map::type EdgeWeightMap; typedef typename SubGraph::vertex_descriptor sg_vertex_descriptor; typedef std::vector VertexVector; typedef std::map VertexMap; typedef boost::associative_property_map ToSGVertexMap; VertexMap vmap; ToSGVertexMap to_sgv_map(vmap); // mapping the TriangleMesh mesh into a SubGraph SubGraph gmain; VertexIndex1Map global_vanchor_map = get(boost::vertex_index1, gmain); VertexIndex2Map global_vtag_map = get(boost::vertex_index2, gmain); EdgeWeightMap global_eweight_map = get(boost::edge_weight, gmain); BOOST_FOREACH(vertex_descriptor v, vertices(*m_pmesh)) { sg_vertex_descriptor sgv = add_vertex(gmain); global_vanchor_map[sgv] = vanchor_map[v]; global_vtag_map[sgv] = vanchor_map[v]; vmap.insert(std::pair(v, sgv)); } BOOST_FOREACH(edge_descriptor e, edges(*m_pmesh)) { vertex_descriptor vs = source(e, *m_pmesh); vertex_descriptor vt = target(e, *m_pmesh); FT len(std::sqrt(CGAL::to_double( CGAL::squared_distance(point_pmap[vs], point_pmap[vt])))); add_edge(to_sgv_map[vs], to_sgv_map[vt], len, gmain); } std::vector vertex_patches(proxies.size()); BOOST_FOREACH(vertex_descriptor v, vertices(*m_pmesh)) { std::set px_set; BOOST_FOREACH(face_descriptor f, faces_around_target(halfedge(v, *m_pmesh), *m_pmesh)) { if (f != boost::graph_traits::null_face()) px_set.insert(seg_pmap[f]); } BOOST_FOREACH(std::size_t p, px_set) vertex_patches[p].push_back(to_sgv_map[v]); } BOOST_FOREACH(VertexVector &vpatch, vertex_patches) { // add a super vertex connecting to its boundary anchors into the main graph const sg_vertex_descriptor superv = add_vertex(gmain); global_vanchor_map[superv] = 0; global_vtag_map[superv] = 0; BOOST_FOREACH(sg_vertex_descriptor v, vpatch) { if (is_anchor_attached(v, global_vanchor_map)) add_edge(superv, v, FT(0), gmain); } vpatch.push_back(superv); } // multi-source Dijkstra's shortest path algorithm applied to each proxy patch BOOST_FOREACH(VertexVector &vpatch, vertex_patches) { // construct subgraph SubGraph &glocal = gmain.create_subgraph(); BOOST_FOREACH(sg_vertex_descriptor v, vpatch) add_vertex(v, glocal); // most subgraph functions work with local descriptors VertexIndex1Map local_vanchor_map = get(boost::vertex_index1, glocal); VertexIndex2Map local_vtag_map = get(boost::vertex_index2, glocal); EdgeWeightMap local_eweight_map = get(boost::edge_weight, glocal); const sg_vertex_descriptor source = glocal.global_to_local(vpatch.back()); VertexVector pred(num_vertices(glocal)); boost::dijkstra_shortest_paths(glocal, source, boost::predecessor_map(&pred[0]).weight_map(local_eweight_map)); // backtrack to the anchor and tag each vertex in the local patch graph BOOST_FOREACH(sg_vertex_descriptor v, vertices(glocal)) { sg_vertex_descriptor curr = v; while (!is_anchor_attached(curr, local_vanchor_map)) curr = pred[curr]; local_vtag_map[v] = local_vanchor_map[curr]; } } // tag all boundary chord BOOST_FOREACH(const Border &bdr, borders) { const halfedge_descriptor he_mark = bdr.he_head; halfedge_descriptor he = he_mark; do { ChordVector chord; walk_to_next_anchor(he, chord); std::vector vdist; vdist.push_back(FT(0)); BOOST_FOREACH(halfedge_descriptor h, chord) { FT elen = global_eweight_map[edge( to_sgv_map[source(h, *m_pmesh)], to_sgv_map[target(h, *m_pmesh)], gmain).first]; vdist.push_back(vdist.back() + elen); } FT half_chord_len = vdist.back() / FT(2); const int anchorleft = vanchor_map[source(chord.front(), *m_pmesh)]; const int anchorright = vanchor_map[target(chord.back(), *m_pmesh)]; typename std::vector::iterator ditr = vdist.begin() + 1; for (typename ChordVector::iterator hitr = chord.begin(); hitr != chord.end() - 1; ++hitr, ++ditr) { if (*ditr < half_chord_len) global_vtag_map[to_sgv_map[target(*hitr, *m_pmesh)]] = anchorleft; else global_vtag_map[to_sgv_map[target(*hitr, *m_pmesh)]] = anchorright; } } while(he != he_mark); } // collect triangles BOOST_FOREACH(face_descriptor f, faces(*m_pmesh)) { halfedge_descriptor he = halfedge(f, *m_pmesh); int i = global_vtag_map[to_sgv_map[source(he, *m_pmesh)]]; int j = global_vtag_map[to_sgv_map[target(he, *m_pmesh)]]; int k = global_vtag_map[to_sgv_map[target(next(he, *m_pmesh), *m_pmesh)]]; if (i != j && i != k && j != k) { tris.push_back(i); tris.push_back(j); tris.push_back(k); } } } /*! * @brief Walks along the region border to the first halfedge pointing to a vertex associated with an anchor. * @param[in/out] he_start region border halfedge */ void walk_to_first_anchor(halfedge_descriptor &he_start) { const halfedge_descriptor start_mark = he_start; while (!is_anchor_attached(he_start)) { // no anchor attached to the halfedge target walk_to_next_border_halfedge(he_start); if (he_start == start_mark) // back to where started, a circular border return; } } /*! * @brief Walks along the region border to the next anchor and records the path as @a chord. * @param[in/out] he_start starting region border halfedge pointing to a vertex associated with an anchor * @param[out] chord recorded path chord */ void walk_to_next_anchor(halfedge_descriptor &he_start, ChordVector &chord) { do { walk_to_next_border_halfedge(he_start); chord.push_back(he_start); } while (!is_anchor_attached(he_start)); } /*! * @brief Walks to next border halfedge. * @param[in/out] he_start region border halfedge */ void walk_to_next_border_halfedge(halfedge_descriptor &he_start) { const std::size_t px_idx = seg_pmap[face(he_start, *m_pmesh)]; BOOST_FOREACH(halfedge_descriptor h, halfedges_around_target(he_start, *m_pmesh)) { if (CGAL::is_border(h, *m_pmesh) || seg_pmap[face(h, *m_pmesh)] != px_idx) { he_start = opposite(h, *m_pmesh); return; } } } /*! * @brief Subdivides a chord recursively in range [@a chord_begin, @a chord_end). * @param chord_begin begin iterator of the chord * @param chord_end end iterator of the chord * @param thre the recursive split threshold * @return the number of anchors of the chord apart from the first one */ std::size_t subdivide_chord( const ChordVectorIterator &chord_begin, const ChordVectorIterator &chord_end, const FT thre) { const std::size_t chord_size = std::distance(chord_begin, chord_end); const halfedge_descriptor he_first = *chord_begin; const halfedge_descriptor he_last = *(chord_end - 1); const std::size_t anchor_first = vanchor_map[source(he_first, *m_pmesh)]; const std::size_t anchor_last = vanchor_map[target(he_last, *m_pmesh)]; // do not subdivide trivial non-circular chord if ((anchor_first != anchor_last) && (chord_size < 4)) return 1; bool if_subdivide = false; ChordVectorIterator chord_max; const Point_3 &pt_begin = point_pmap[source(he_first, *m_pmesh)]; const Point_3 &pt_end = point_pmap[target(he_last, *m_pmesh)]; if (anchor_first == anchor_last) { // circular chord CGAL_assertion(chord_size > 2); FT dist_max(0.0); for (ChordVectorIterator citr = chord_begin; citr != chord_end; ++citr) { FT dist = CGAL::squared_distance(pt_begin, point_pmap[target(*citr, *m_pmesh)]); dist = FT(std::sqrt(CGAL::to_double(dist))); if (dist > dist_max) { chord_max = citr; dist_max = dist; } } if_subdivide = true; } else { FT dist_max(0.0); Vector_3 chord_vec = vector_functor(pt_begin, pt_end); FT chord_len(std::sqrt(CGAL::to_double(chord_vec.squared_length()))); chord_vec = scale_functor(chord_vec, FT(1.0) / chord_len); for (ChordVectorIterator citr = chord_begin; citr != chord_end; ++citr) { Vector_3 vec = vector_functor(pt_begin, point_pmap[target(*citr, *m_pmesh)]); vec = CGAL::cross_product(chord_vec, vec); FT dist(std::sqrt(CGAL::to_double(vec.squared_length()))); if (dist > dist_max) { chord_max = citr; dist_max = dist; } } // suppose the proxy normal angle is acute std::size_t px_left = seg_pmap[face(he_first, *m_pmesh)]; std::size_t px_right = px_left; if (!CGAL::is_border(opposite(he_first, *m_pmesh), *m_pmesh)) px_right = seg_pmap[face(opposite(he_first, *m_pmesh), *m_pmesh)]; FT norm_sin(1.0); if (!CGAL::is_border(opposite(he_first, *m_pmesh), *m_pmesh)) { Vector_3 vec = CGAL::cross_product( px_planes[px_left].normal, px_planes[px_right].normal); norm_sin = FT(std::sqrt(CGAL::to_double(scalar_product_functor(vec, vec)))); } FT criterion = dist_max * norm_sin / chord_len; if (criterion > thre) if_subdivide = true; } if (if_subdivide) { // subdivide at the most remote vertex attach_anchor(*chord_max); std::size_t num0 = subdivide_chord(chord_begin, chord_max + 1, thre); std::size_t num1 = subdivide_chord(chord_max + 1, chord_end, thre); return num0 + num1; } return 1; } /*! * @brief Check if the target vertex of a halfedge is attached with an anchor. * @param he halfedge */ bool is_anchor_attached(const halfedge_descriptor &he) { return is_anchor_attached(target(he, *m_pmesh), vanchor_map); } /*! * @brief Check if a vertex is attached with an anchor. * @tparam VertexAnchorIndexMap `WritablePropertyMap` with `boost::graph_traights::vertex_descriptor` as key and `std::size_t` as value type * @param v vertex * @param vertex_anchor_map vertex anchor index map */ template bool is_anchor_attached( const typename boost::property_traits::key_type &v, const VertexAnchorIndexMap &vertex_anchor_map) { return vertex_anchor_map[v] >= 0; } /*! * @brief Attachs an anchor to the vertex. * @param vtx vertex */ void attach_anchor(const vertex_descriptor &vtx) { vanchor_map[vtx] = static_cast(anchors.size()); anchors.push_back(Anchor(vtx, compute_anchor_position(vtx))); } /*! * @brief Attachs an anchor to the target vertex of the halfedge. * @param he halfedge */ void attach_anchor(const halfedge_descriptor &he) { vertex_descriptor vtx = target(he, *m_pmesh); attach_anchor(vtx); } /*! * @brief Calculate the anchor positions from a vertex. * @param v the vertex descriptor * @return the anchor position */ Point_3 compute_anchor_position(const vertex_descriptor &v) { // construct an anchor from vertex and the incident proxies std::set px_set; BOOST_FOREACH(halfedge_descriptor h, halfedges_around_target(v, *m_pmesh)) { if (!CGAL::is_border(h, *m_pmesh)) px_set.insert(seg_pmap[face(h, *m_pmesh)]); } // construct an anchor from vertex and the incident proxies FT avgx(0), avgy(0), avgz(0), sum_area(0); const Point_3 vtx_pt = point_pmap[v]; for (std::set::iterator pxitr = px_set.begin(); pxitr != px_set.end(); ++pxitr) { std::size_t px_idx = *pxitr; Point_3 proj = px_planes[px_idx].plane.projection(vtx_pt); FT area = px_planes[px_idx].area; avgx += proj.x() * area; avgy += proj.y() * area; avgz += proj.z() * area; sum_area += area; } return Point_3(avgx / sum_area, avgy / sum_area, avgz / sum_area); } /*! * @brief Use an incremental builder to build and test if the indexed triangle surface is manifold * @tparam PolyhedronSurface should be `CGAL::Polyhedron_3` * @param[out] poly input polyhedorn mesh * @return true if build manifold surface successfully */ template bool build_polyhedron_surface(PolyhedronSurface &poly) { std::vector vtx; BOOST_FOREACH(const Anchor &a, anchors) vtx.push_back(a.pos); typedef typename PolyhedronSurface::HalfedgeDS HDS; TrianglePolyhedronBuilder tpbuilder(vtx, tris); poly.delegate(tpbuilder); return tpbuilder.is_manifold; } /*! * @brief Fit an area averaged plane from a range of facets. * @tparam FacetIterator face_descriptor container iterator * @param beg container begin * @param end container end * @return fitted plane */ template Plane_3 fit_plane_area_averaged(const FacetIterator &beg, const FacetIterator &end) { CGAL_assertion(beg != end); // area average normal and centroid Vector_3 norm = CGAL::NULL_VECTOR; Vector_3 cent = CGAL::NULL_VECTOR; FT sum_area(0); for (FacetIterator fitr = beg; fitr != end; ++fitr) { const halfedge_descriptor he = halfedge(*fitr, *m_pmesh); const Point_3 &p0 = point_pmap[source(he, *m_pmesh)]; const Point_3 &p1 = point_pmap[target(he, *m_pmesh)]; const Point_3 &p2 = point_pmap[target(next(he, *m_pmesh), *m_pmesh)]; Vector_3 vec = vector_functor(CGAL::ORIGIN, CGAL::centroid(p0, p1, p2)); FT farea(std::sqrt(CGAL::to_double(CGAL::squared_area(p0, p1, p2)))); Vector_3 fnorm = CGAL::unit_normal(p0, p1, p2); norm = sum_functor(norm, scale_functor(fnorm, farea)); cent = sum_functor(cent, scale_functor(vec, farea)); sum_area += farea; } norm = scale_functor(norm, FT(1.0 / std::sqrt(CGAL::to_double(norm.squared_length())))); cent = scale_functor(cent, FT(1) / sum_area); return Plane_3(CGAL::ORIGIN + cent, norm); } /*! * @brief Fit a plane from a range of facets with PCA algorithm. * @tparam FacetIterator face_descriptor container iterator * @param beg container begin * @param end container end * @return fitted plane */ template Plane_3 fit_plane_pca(const FacetIterator &beg, const FacetIterator &end) { CGAL_assertion(beg != end); typedef typename GeomTraits::Triangle_3 Triangle_3; std::list tri_list; for (FacetIterator fitr = beg; fitr != end; ++fitr) { halfedge_descriptor he = halfedge(*fitr, *m_pmesh); const Point_3 &p0 = point_pmap[source(he, *m_pmesh)]; const Point_3 &p1 = point_pmap[target(he, *m_pmesh)]; const Point_3 &p2 = point_pmap[target(next(he, *m_pmesh), *m_pmesh)]; tri_list.push_back(Triangle_3(p0, p1, p2)); } // construct and fit proxy plane Plane_3 fit_plane; CGAL::linear_least_squares_fitting_3( tri_list.begin(), tri_list.end(), fit_plane, CGAL::Dimension_tag<2>()); return fit_plane; } }; } // end namespace CGAL #endif // CGAL_SURFACE_MESH_APPROXIMATION_VSA_APPROXIMATION_H