mirror of https://github.com/CGAL/cgal
258 lines
9.8 KiB
C++
258 lines
9.8 KiB
C++
#include <CGAL/Cartesian.h>
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#include <cassert>
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#include <fstream>
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#include <vector>
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//This Is an enriched Polyhedron with facets' normal
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#include "PolyhedralSurf.h"
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#include "PolyhedralSurf_rings.h"
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#include "compute_normals.h"
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#include <CGAL/Ridges.h>
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#include <CGAL/Umbilics.h>
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#include <CGAL/Monge_via_jet_fitting.h>
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// Functions declared in PolyhedralSurf.h
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// They were previously defined in a separate file PolyhedralSurf.cpp,
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// but I prefere to avoid custom CMakeLists.txt files in the testsuite.
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// -- Laurent Rineau, 2008/11/10
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typedef PolyhedralSurf::Traits Kernel;
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typedef Kernel::FT FT;
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typedef Kernel::Point_3 Point_3;
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typedef Kernel::Vector_3 Vector_3;
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typedef boost::graph_traits<PolyhedralSurf>::vertex_descriptor vertex_descriptor;
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typedef boost::graph_traits<PolyhedralSurf>::vertex_iterator vertex_iterator;
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typedef boost::graph_traits<PolyhedralSurf>::face_descriptor face_descriptor;
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typedef T_PolyhedralSurf_rings<PolyhedralSurf> Poly_rings;
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typedef CGAL::Monge_via_jet_fitting<Kernel> Monge_via_jet_fitting;
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typedef Monge_via_jet_fitting::Monge_form Monge_form;
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typedef std::map<vertex_descriptor, FT> VertexFT_map;
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typedef boost::associative_property_map< VertexFT_map > VertexFT_property_map;
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typedef std::map<vertex_descriptor, Vector_3> VertexVector_map;
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typedef boost::associative_property_map< VertexVector_map > VertexVector_property_map;
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typedef std::map<face_descriptor, Vector_3> Face2Vector_map;
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typedef boost::associative_property_map< Face2Vector_map > Face2Vector_property_map;
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//RIDGES
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typedef CGAL::Ridge_line<PolyhedralSurf> Ridge_line;
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typedef CGAL::Ridge_approximation < PolyhedralSurf,
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VertexFT_property_map,
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VertexVector_property_map > Ridge_approximation;
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//UMBILICS
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typedef CGAL::Umbilic<PolyhedralSurf> Umbilic;
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typedef CGAL::Umbilic_approximation < PolyhedralSurf,
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VertexFT_property_map,
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VertexVector_property_map > Umbilic_approximation;
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//create property maps, to be moved in main?
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VertexFT_map vertex_k1_map, vertex_k2_map,
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vertex_b0_map, vertex_b3_map,
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vertex_P1_map, vertex_P2_map;
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VertexVector_map vertex_d1_map, vertex_d2_map;
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Face2Vector_map face2normal_map;
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VertexFT_property_map vertex_k1_pm(vertex_k1_map), vertex_k2_pm(vertex_k2_map),
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vertex_b0_pm(vertex_b0_map), vertex_b3_pm(vertex_b3_map),
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vertex_P1_pm(vertex_P1_map), vertex_P2_pm(vertex_P2_map);
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VertexVector_property_map vertex_d1_pm(vertex_d1_map), vertex_d2_pm(vertex_d2_map);
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Face2Vector_property_map face2normal_pm(face2normal_map);
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// default fct parameter values and global variables
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unsigned int d_fitting = 4;
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unsigned int d_monge = 4;
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unsigned int nb_rings = 0;//seek min # of rings to get the required #pts
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unsigned int nb_points_to_use = 0;//
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CGAL::Ridge_order tag_order = CGAL::Ridge_order_3;
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double umb_size = 1;
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bool verbose = false;
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unsigned int min_nb_points = (d_fitting + 1) * (d_fitting + 2) / 2;
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/* gather points around the vertex v using rings on the
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polyhedralsurf. the collection of points resorts to 3 alternatives:
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1. the exact number of points to be used
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2. the exact number of rings to be used
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3. nothing is specified
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*/
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template <typename VertexPointMap>
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void gather_fitting_points(vertex_descriptor v,
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std::vector<Point_3> &in_points,
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Poly_rings& poly_rings,
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VertexPointMap vpm)
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{
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//container to collect vertices of v on the PolyhedralSurf
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std::vector<vertex_descriptor> gathered;
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//initialize
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in_points.clear();
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//OPTION -p nb_points_to_use, with nb_points_to_use != 0. Collect
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//enough rings and discard some points of the last collected ring to
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//get the exact "nb_points_to_use"
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if ( nb_points_to_use != 0 ) {
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poly_rings.collect_enough_rings(v, nb_points_to_use, gathered);
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if ( gathered.size() > nb_points_to_use ) gathered.resize(nb_points_to_use);
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}
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else { // nb_points_to_use=0, this is the default and the option -p is not considered;
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// then option -a nb_rings is checked. If nb_rings=0, collect
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// enough rings to get the min_nb_points required for the fitting
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// else collect the nb_rings required
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if ( nb_rings == 0 )
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poly_rings.collect_enough_rings(v, min_nb_points, gathered);
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else poly_rings.collect_i_rings(v, nb_rings, gathered);
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}
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//store the gathered points
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std::vector<vertex_descriptor>::const_iterator
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itb = gathered.begin(), ite = gathered.end();
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CGAL_For_all(itb,ite) in_points.push_back(get(vpm,*itb));
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}
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/* Use the jet_fitting package and the class Poly_rings to compute
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diff quantities.
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*/
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void compute_differential_quantities(PolyhedralSurf& P, Poly_rings& poly_rings)
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{
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//container for approximation points
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std::vector<Point_3> in_points;
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typedef boost::property_map<PolyhedralSurf,CGAL::vertex_point_t>::type VPM;
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VPM vpm = get(CGAL::vertex_point,P);
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//MAIN LOOP
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vertex_iterator vitb = P.vertices_begin(), vite = P.vertices_end();
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for (; vitb != vite; vitb++) {
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//initialize
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vertex_descriptor v = * vitb;
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in_points.clear();
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Monge_form monge_form;
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Monge_via_jet_fitting monge_fit;
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//gather points around the vertex using rings
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gather_fitting_points(v, in_points, poly_rings, vpm);
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//exit if the nb of points is too small
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if ( in_points.size() < min_nb_points )
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{std::cerr << "Too few points to perform the fitting" << std::endl; exit(1);}
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//For Ridges we need at least 3rd order info
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assert( d_monge >= 3);
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// run the main fct : perform the fitting
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monge_form = monge_fit(in_points.begin(), in_points.end(),
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d_fitting, d_monge);
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//switch min-max ppal curv/dir wrt the mesh orientation
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const Vector_3 normal_mesh = computeFacetsAverageUnitNormal(P,v, face2normal_pm, Kernel());
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monge_form.comply_wrt_given_normal(normal_mesh);
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//Store monge data needed for ridge computations in property maps
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vertex_d1_map[v] = monge_form.maximal_principal_direction();
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vertex_d2_map[v] = monge_form.minimal_principal_direction();
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vertex_k1_map[v] = monge_form.coefficients()[0];
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vertex_k2_map[v] = monge_form.coefficients()[1];
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vertex_b0_map[v] = monge_form.coefficients()[2];
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vertex_b3_map[v] = monge_form.coefficients()[5];
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if ( d_monge >= 4) {
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//= 3*b1^2+(k1-k2)(c0-3k1^3)
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vertex_P1_map[v] =
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3*monge_form.coefficients()[3]*monge_form.coefficients()[3]
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+(monge_form.coefficients()[0]-monge_form.coefficients()[1])
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*(monge_form.coefficients()[6]
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-3*monge_form.coefficients()[0]*monge_form.coefficients()[0]
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*monge_form.coefficients()[0]);
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//= 3*b2^2+(k2-k1)(c4-3k2^3)
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vertex_P2_map[v] =
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3*monge_form.coefficients()[4]*monge_form.coefficients()[4]
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+(-monge_form.coefficients()[0]+monge_form.coefficients()[1])
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*(monge_form.coefficients()[10]
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-3*monge_form.coefficients()[1]*monge_form.coefficients()[1]
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*monge_form.coefficients()[1]);
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}
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} //END FOR LOOP
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}
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int main()
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{
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//load the model from <mesh.off>
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PolyhedralSurf P;
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std::ifstream stream("data/ellipsoid.off");
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stream >> P;
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fprintf(stderr, "loadMesh %d Ves %d Facets\n",
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(int)P.size_of_vertices(), (int)P.size_of_facets());
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//exit if not enough points in the model
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if (min_nb_points > P.size_of_vertices())
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{std::cerr << "not enough points in the model" << std::endl; return 1;}
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//initialize Polyhedral data : normal of facets
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compute_facets_normals(P,face2normal_pm, Kernel());
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//create a Poly_rings object
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Poly_rings poly_rings(P);
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std::cout << "Compute differential quantities via jet fitting..." << std::endl;
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//initialize the diff quantities property maps
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compute_differential_quantities(P, poly_rings);
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std::cout << "Compute ridges with tag_3" << std::endl;
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//---------------------------------------------------------------------------
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//Ridges
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//--------------------------------------------------------------------------
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Ridge_approximation ridge_approximation(P,
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vertex_k1_pm, vertex_k2_pm,
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vertex_b0_pm, vertex_b3_pm,
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vertex_d1_pm, vertex_d2_pm,
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vertex_P1_pm, vertex_P2_pm );
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std::vector<Ridge_line*> ridge_lines;
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std::back_insert_iterator<std::vector<Ridge_line*> > ii(ridge_lines);
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//Find MAX_RIDGE, RED_RIDGE, CREST or all ridges
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ridge_approximation.compute_max_ridges(ii, tag_order);
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ridge_approximation.compute_min_ridges(ii, tag_order);
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ridge_approximation.compute_crest_ridges(ii, tag_order);
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std::cout << "Compute ridges with tag_4" << std::endl;
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tag_order = CGAL::Ridge_order_4;
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//Find MAX_RIDGE, RED_RIDGE, CREST or all ridges
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ridge_approximation.compute_max_ridges(ii, tag_order);
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ridge_approximation.compute_min_ridges(ii, tag_order);
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ridge_approximation.compute_crest_ridges(ii, tag_order);
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std::vector<Ridge_line*>::iterator iter_lines = ridge_lines.begin(),
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iter_end = ridge_lines.end();
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for (;iter_lines!=iter_end;iter_lines++){
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delete *iter_lines;
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}
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//---------------------------------------------------------------------------
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// UMBILICS
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//--------------------------------------------------------------------------
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Umbilic_approximation umbilic_approximation(P,
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vertex_k1_pm, vertex_k2_pm,
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vertex_d1_pm, vertex_d2_pm);
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std::vector<Umbilic*> umbilics;
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std::back_insert_iterator<std::vector<Umbilic*> > umb_it(umbilics);
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std::cout << "compute umbilics u=1" << std::endl;
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umbilic_approximation.compute(umb_it, umb_size);
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umb_size=2;
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std::cout << "compute umbilics u=2" << std::endl;
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umb_size=3.5;
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std::cout << "compute umbilics u=3.5" << std::endl;
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assert(umbilics.size() == 4);
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std::vector<Umbilic*>::iterator iter_umb = umbilics.begin(),
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iter_umb_end = umbilics.end();
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// output
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std::cout << "nb of umbilics " << umbilics.size() << std::endl;
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for (;iter_umb!=iter_umb_end;iter_umb++){
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std::cout << **iter_umb;
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delete *iter_umb;
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}
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std::cout << "success\n";
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return 0;
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}
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