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// Copyright (c) 2016 GeometryFactory (France).
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org).
//
// $URL: https://github.com/CGAL/cgal/blob/v6.1.1/Surface_mesh_parameterization/include/CGAL/Surface_mesh_parameterization/ARAP_parameterizer_3.h $
// $Id: include/CGAL/Surface_mesh_parameterization/ARAP_parameterizer_3.h 08b27d3db14 $
// SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial
//
// Author(s) : Mael Rouxel-Labbé
#ifndef CGAL_SURFACE_MESH_PARAMETERIZATION_ARAP_PARAMETERIZER_3_H
#define CGAL_SURFACE_MESH_PARAMETERIZATION_ARAP_PARAMETERIZER_3_H
#include <CGAL/disable_warnings.h>
#include <CGAL/license/Surface_mesh_parameterization.h>
#include <CGAL/Surface_mesh_parameterization/internal/Bool_property_map.h>
#include <CGAL/Surface_mesh_parameterization/internal/Containers_filler.h>
#include <CGAL/Surface_mesh_parameterization/internal/kernel_traits.h>
#include <CGAL/Surface_mesh_parameterization/internal/validity.h>
#include <CGAL/Surface_mesh_parameterization/IO/File_off.h>
#include <CGAL/Surface_mesh_parameterization/Mean_value_coordinates_parameterizer_3.h>
#include <CGAL/Surface_mesh_parameterization/LSCM_parameterizer_3.h>
#include <CGAL/Surface_mesh_parameterization/MVC_post_processor_3.h>
#include <CGAL/Surface_mesh_parameterization/Two_vertices_parameterizer_3.h>
#include <CGAL/Surface_mesh_parameterization/parameterize.h>
#include <CGAL/Weights/utils.h>
#include <CGAL/Polygon_mesh_processing/connected_components.h>
#if defined(CGAL_EIGEN3_ENABLED)
#include <CGAL/Eigen_solver_traits.h>
#ifdef CGAL_SMP_USE_SUITESPARSE_SOLVERS
#include <Eigen/UmfPackSupport>
#endif
#endif
#include <CGAL/assertions.h>
#include <CGAL/basic.h>
#include <CGAL/circulator.h>
#include <CGAL/Default.h>
#include <CGAL/number_utils.h>
// Below are two macros that can be used to improve the accuracy of optimal Lt
// matrices.
// Note that at least one of these macros should be defined. If:
//
// - CGAL_SMP_SOLVE_CUBIC_EQUATION is defined: a cubic equation is solved instead of the
// complete bivariate system. Although less accurate, it is usually sufficient.
// - CGAL_SMP_SOLVE_CUBIC_EQUATION and CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP are defined:
// the same cubic is solved but using GMP and CGAL's algebraic kernel.
// - CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP is defined: a bivariate system is solved,
// using GMP and CGAL's algebraic kernel.
//
// Using CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP requires GMP, MPFI, and linking CGAL
// with Core and MPFI. This can be simply done in 'CMakeLists.txt' by using:
// 'find_package(CGAL QUIET COMPONENTS Core MPFI)'
// -----------------------------------------------------------------------------
#define CGAL_SMP_SOLVE_CUBIC_EQUATION
//#define CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP
// -----------------------------------------------------------------------------
#if !defined(CGAL_SMP_SOLVE_CUBIC_EQUATION) && !defined(CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP)
#error "Either 'CGAL_SMP_SOLVE_CUBIC_EQUATION' or 'CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP' must be defined."
#endif
#if defined(CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP)
#if !defined(CGAL_USE_GMP) || !defined(CGAL_USE_MPFI)
#error "'CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP' cannot be defined if GMP or MPFI is not present."
#endif
#endif
#ifdef CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP
#include <CGAL/GMP_arithmetic_kernel.h>
#include <CGAL/Algebraic_kernel_d_2.h>
#elif defined(CGAL_SMP_SOLVE_CUBIC_EQUATION)
#include <CGAL/Kernel/Conic_misc.h> // used to solve conic equations
#endif
#include <boost/iterator/function_output_iterator.hpp>
#include <boost/functional/hash.hpp>
#include <unordered_set>
#include <iostream>
#include <fstream>
#include <limits>
#include <set>
#include <string>
#include <utility>
#include <vector>
#include <type_traits>
/// \file ARAP_parameterizer_3.h
// @todo Handle the case cot = 0 with a local parameterization aligned with the axes
// (this produces C2=0 which is problematic to compute a & b)
// @todo Add distortion measures
// @todo Parallelize the local phase?
namespace CGAL {
namespace Surface_mesh_parameterization {
// ------------------------------------------------------------------------------------
// Declaration
// ------------------------------------------------------------------------------------
/// \ingroup PkgSurfaceMeshParameterizationMethods
///
/// The class `ARAP_parameterizer_3` implements the
/// *Local/Global Approach to Mesh Parameterization* \cgalCite{liu2008local}.
///
/// This parameterization allows the user to prioritize angle preservation,
/// shape preservation, or a balance of both.
/// A parameter \f$\lambda\f$ controls whether the priority is given to angle
/// or to shape preservation: when \f$\lambda=0\f$, the parameterization is
/// as-similar-as-possible (ASAP) and is equivalent to the (conforming) LSCM parameterization.
/// As \f$\lambda\f$ grows, the shape preservation becomes more and more important,
/// yielding, when \f$\lambda\f$ goes to infinity, a parameterization that is as-rigid-as-possible (ARAP).
///
/// This is a free border parameterization. There is no need to map the border of the surface
/// onto a convex polygon.
/// When \f$\lambda=0\f$, only two pinned vertices are needed to ensure a unique solution.
/// When \f$\lambda\f$ is non-null, the border does not need to be parameterized and
/// a random vertex is pinned.
///
/// If flips are present in the initial parameterization, a postprocessing step
/// is applied using `CGAL::Surface_mesh_parameterization::MVC_post_processor_3<TriangleMesh_, SolverTraits_>`
/// to attempt to obtain a valid final embedding.
///
/// A one-to-one mapping is *not* guaranteed.
///
/// \cgalModels{Parameterizer_3}
///
/// \tparam TriangleMesh_ must be a model of `FaceGraph`.
///
/// \tparam BorderParameterizer_ is a strategy to parameterize the surface border
/// and must be a model of `Parameterizer_3`.<br>
/// <b>%Default:</b>
/// \code
/// Two_vertices_parameterizer_3<TriangleMesh_>
/// \endcode
///
/// \tparam SolverTraits_ must be a model of `SparseLinearAlgebraTraits_d`.<br>
/// Note that the system is *not* symmetric.<br>
/// <b>%Default:</b> If \ref thirdpartyEigen "Eigen" 3.1 (or greater) is available
/// and `CGAL_EIGEN3_ENABLED` is defined, then an overload of `Eigen_solver_traits`
/// is provided as default parameter:
/// \code
/// CGAL::Eigen_solver_traits<
/// Eigen::SparseLU<Eigen_sparse_matrix<double>::EigenType> >
/// \endcode
/// Moreover, if SuiteSparse solvers are available, which is greatly preferable for speed,
/// then the default parameter is:
/// \code
/// CGAL::Eigen_solver_traits<
/// Eigen::UmfPackLU<Eigen_sparse_matrix<double>::EigenType> >
/// \endcode
///
/// \sa `CGAL::Surface_mesh_parameterization::Fixed_border_parameterizer_3<TriangleMesh, BorderParameterizer, SolverTraits>`
/// \sa `CGAL::Surface_mesh_parameterization::Iterative_authalic_parameterizer_3<TriangleMesh, BorderParameterizer, SolverTraits>`
///
template < class TriangleMesh_,
class BorderParameterizer_ = Default,
class SolverTraits_ = Default>
class ARAP_parameterizer_3
{
public:
#ifndef DOXYGEN_RUNNING
typedef typename Default::Get<
BorderParameterizer_,
Two_vertices_parameterizer_3<TriangleMesh_> >::type Border_parameterizer;
#if !defined(CGAL_EIGEN3_ENABLED)
static_assert(!(std::is_same<SolverTraits_, Default>::value),
"Error: You must either provide 'SolverTraits_' or link CGAL with the Eigen library");
#endif
typedef typename Default::Get<
SolverTraits_,
#if defined(CGAL_EIGEN3_ENABLED)
#ifdef CGAL_SMP_USE_SUITESPARSE_SOLVERS
CGAL::Eigen_solver_traits<
Eigen::UmfPackLU<Eigen_sparse_matrix<double>::EigenType> >
#else
CGAL::Eigen_solver_traits<
Eigen::SparseLU<Eigen_sparse_matrix<double>::EigenType> >
#endif
#else
SolverTraits_ // no parameter provided, and Eigen is not enabled: so don't compile!
#endif
>::type Solver_traits;
#else
/// Border parameterizer type
typedef Border_parameterizer_ Border_parameterizer;
/// Solver traits type
typedef SolverTraits_ Solver_traits;
/// Number type, deduced from the internal vertex point map of `Triangle_mesh`
typedef unspecified_type NT;
#endif
/// Triangle mesh type
typedef TriangleMesh_ Triangle_mesh;
typedef TriangleMesh_ TriangleMesh;
/// Mesh halfedge type
typedef typename boost::graph_traits<Triangle_mesh>::halfedge_descriptor halfedge_descriptor;
// Private types
private:
typedef typename boost::graph_traits<Triangle_mesh>::vertex_descriptor vertex_descriptor;
typedef typename boost::graph_traits<Triangle_mesh>::face_descriptor face_descriptor;
typedef typename boost::graph_traits<Triangle_mesh>::face_iterator face_iterator;
typedef typename boost::graph_traits<Triangle_mesh>::vertex_iterator vertex_iterator;
typedef CGAL::Halfedge_around_target_circulator<Triangle_mesh> halfedge_around_target_circulator;
typedef CGAL::Halfedge_around_face_circulator<Triangle_mesh> halfedge_around_face_circulator;
typedef std::unordered_set<vertex_descriptor> Vertex_set;
typedef std::vector<face_descriptor> Faces_vector;
// Traits subtypes:
typedef typename internal::Kernel_traits<Triangle_mesh>::Kernel Kernel;
typedef typename Kernel::FT NT;
typedef typename Kernel::Point_2 Point_2;
typedef typename Kernel::Point_3 Point_3;
typedef typename Kernel::Vector_2 Vector_2;
typedef typename Kernel::Vector_3 Vector_3;
// Solver traits subtypes:
typedef typename Solver_traits::Vector Vector;
typedef typename Solver_traits::Matrix Matrix;
// Memory maps
// Each triangle is associated a linear transformation matrix
typedef std::pair<NT, NT> Lt_matrix;
typedef CGAL::Unique_hash_map<face_descriptor,
Lt_matrix,
boost::hash<face_descriptor> > Lt_hash_map;
typedef boost::associative_property_map<Lt_hash_map> Lt_map;
// Each angle (uniquely determined by the opposite half edge) has a cotangent
typedef CGAL::Unique_hash_map<halfedge_descriptor, NT,
boost::hash<halfedge_descriptor> > Cot_hm;
typedef boost::associative_property_map<Cot_hm> Cot_map;
// Each face has a local 2D isometric parameterization
typedef std::pair<int, int> Local_indices;
typedef CGAL::Unique_hash_map<halfedge_descriptor,
Local_indices,
boost::hash<halfedge_descriptor> > Lp_hm;
typedef boost::associative_property_map<Lp_hm> Lp_map;
typedef std::vector<Point_2> Local_points;
// Private fields
private:
// %Object that maps (at least two) border vertices onto a 2D space
Border_parameterizer m_borderParameterizer;
// Traits object to solve a sparse linear system
Solver_traits m_linearAlgebra;
// Controlling parameters
const NT m_lambda;
const NT m_lambda_tolerance; // used to determine when we switch to full ARAP
// Energy minimization parameters
const unsigned int m_iterations;
const NT m_tolerance;
// Private accessors
private:
// Get the object that maps the surface's border onto a 2D space.
Border_parameterizer& get_border_parameterizer() { return m_borderParameterizer; }
// Get the sparse linear algebra (traits object to access the linear system).
Solver_traits& get_linear_algebra_traits() { return m_linearAlgebra; }
// Private utilities
private:
// Print the parameterized mesh.
template <typename VertexUVMap,
typename VertexIndexMap>
void output_uvmap(const std::string filename,
const Triangle_mesh& mesh,
const Vertex_set& vertices,
const Faces_vector& faces,
const VertexUVMap uvmap,
const VertexIndexMap vimap) const
{
std::ofstream out(filename.c_str());
IO::output_uvmap_to_off(mesh, vertices, faces, uvmap, vimap, out);
}
// Print the parameterized mesh.
template <typename VertexUVMap,
typename VertexIndexMap>
void output_uvmap(const std::string filename,
const unsigned int iter,
const Triangle_mesh& mesh,
const Vertex_set& vertices,
const Faces_vector& faces,
const VertexUVMap uvmap,
const VertexIndexMap vimap) const
{
std::ostringstream out_ss;
out_ss << filename << iter << ".off" << std::ends;
std::ofstream out(out_ss.str().c_str());
IO::output_uvmap_to_off(mesh, vertices, faces, uvmap, vimap, out);
}
// Copy the data from two vectors to the UVmap.
template <typename VertexUVMap,
typename VertexIndexMap,
typename VertexParameterizedMap>
void assign_solution(const Vector& Xu,
const Vector& Xv,
const Vertex_set& vertices,
VertexUVMap uvmap,
const VertexIndexMap vimap,
const VertexParameterizedMap vpmap)
{
for(vertex_descriptor vd : vertices) {
// The solver might not have managed to exactly constrain the vertex that was marked
// as constrained; simply don't update its position.
if(get(vpmap, vd))
continue;
int index = get(vimap, vd);
NT u = Xu(index);
NT v = Xv(index);
put(uvmap, vd, Point_2(u, v));
}
}
// Private operations
private:
// Store the vertices and faces of the mesh in memory.
Error_code initialize_containers(const Triangle_mesh& mesh,
halfedge_descriptor bhd,
Vertex_set& vertices,
Faces_vector& faces) const
{
internal::Containers_filler<Triangle_mesh> fc(mesh, vertices, &faces);
Polygon_mesh_processing::connected_component(
face(opposite(bhd, mesh), mesh),
mesh,
boost::make_function_output_iterator(fc));
if (vertices.empty() || faces.empty())
return ERROR_EMPTY_MESH;
return OK;
}
// Initialize the UV values with a first parameterization of the input.
template <typename VertexUVMap,
typename VertexIndexMap>
Error_code compute_initial_uv_map(Triangle_mesh& mesh,
halfedge_descriptor bhd,
VertexUVMap uvmap,
VertexIndexMap vimap) const
{
Error_code status;
unsigned int number_of_borders =
CGAL::Polygon_mesh_processing::number_of_borders(mesh);
if(number_of_borders == 0) {
status = ERROR_BORDER_TOO_SHORT;
return status;
}
// temporary vpmap since we do not need it in the future
std::unordered_set<vertex_descriptor> vs;
internal::Bool_property_map<std::unordered_set<vertex_descriptor> > vpmap(vs);
// According to the paper, MVC is better for single border and LSCM is better
// when there are multiple borders
if(number_of_borders == 1) {
typedef Mean_value_coordinates_parameterizer_3<Triangle_mesh> MVC_parameterizer;
MVC_parameterizer mvc_parameterizer;
status = mvc_parameterizer.parameterize(mesh, bhd, uvmap, vimap, vpmap);
} else {
typedef LSCM_parameterizer_3<Triangle_mesh, Border_parameterizer> LSCM_parameterizer;
LSCM_parameterizer lscm_parameterizer;
status = lscm_parameterizer.parameterize(mesh, bhd, uvmap, vimap, vpmap);
}
return status;
}
// Parameterize the border. The number of fixed vertices depends on the value
// of the parameter lambda.
template <typename VertexUVMap,
typename VertexIndexMap,
typename VertexParameterizedMap>
Error_code parameterize_border(const Triangle_mesh& mesh,
const Vertex_set& vertices,
halfedge_descriptor bhd,
VertexIndexMap vimap,
VertexParameterizedMap vpmap)
{
Error_code status = OK;
CGAL_precondition(!vertices.empty());
if(m_lambda != 0.) {
// Fix a random vertex, the value in uvmap is already set
vertex_descriptor vd = *(vertices.begin());
put(vpmap, vd, true);
} else {
// This fixes two vertices that are far in the original geometry
// A local uvmap (that is then discarded) is passed to avoid changing
// the values of the real uvmap. Since we can't get VertexUVMap::C,
// we build a map with the same key and value types
typedef std::unordered_map<typename VertexUVMap::key_type,
typename VertexUVMap::value_type> Useless_map;
typedef boost::associative_property_map<Useless_map> Useless_pmap;
Useless_map useless_map;
Useless_pmap useless_uvpmap(useless_map);
status = get_border_parameterizer().parameterize(mesh, bhd, useless_uvpmap,
vimap, vpmap);
}
return status;
}
// Compute the cotangent of the angle between the vectors ij and ik.
void compute_cotangent_angle(const Triangle_mesh& mesh,
halfedge_descriptor hd,
vertex_descriptor vi,
vertex_descriptor vj,
vertex_descriptor vk,
Cot_map ctmap) const
{
typedef typename boost::property_map<Triangle_mesh,
boost::vertex_point_t>::const_type PPmap;
const PPmap ppmap = get(vertex_point, mesh);
const Point_3& position_vi = get(ppmap, vi);
const Point_3& position_vj = get(ppmap, vj);
const Point_3& position_vk = get(ppmap, vk);
const NT cot = CGAL::Weights::cotangent(position_vi, position_vj, position_vk);
put(ctmap, hd, cot);
}
// Fill the map 'ctmap' with the cotangents of the angles of the faces of 'mesh'.
Error_code compute_cotangent_angles(const Triangle_mesh& mesh,
const Faces_vector& faces,
Cot_map ctmap) const
{
// Since we loop faces, we are implicitly defining the weight of border halfedges as 0...
for(face_descriptor fd : faces) {
halfedge_descriptor hd = halfedge(fd, mesh), hdb = hd;
vertex_descriptor vi = target(hd, mesh);
hd = next(hd, mesh);
vertex_descriptor vj = target(hd, mesh);
hd = next(hd, mesh);
vertex_descriptor vk = target(hd, mesh);
hd = next(hd, mesh);
if(hd != hdb) { // make sure that it is a triangular face
return ERROR_NON_TRIANGULAR_MESH;
}
compute_cotangent_angle(mesh, hd, vk, vj, vi , ctmap); // angle at v_j
compute_cotangent_angle(mesh, next(hd, mesh), vi, vk, vj , ctmap); // angle at v_k
compute_cotangent_angle(mesh, prev(hd, mesh), vj, vi, vk , ctmap); // angle at v_i
}
return OK;
}
// computes `w_ij`, the `(i,j)`-coefficient of matrix `A` for `j` neighbor vertex of `i`.
NT compute_w_ij(const Triangle_mesh& mesh,
halfedge_descriptor hd,
const Cot_map ctmap) const
{
// Note that BGL halfedge and vertex circulators move clockwise!!
// coefficient corresponding to the angle at vk if vk is the vertex before vj
// while circulating around vi
const NT c_k = get(ctmap, opposite(hd, mesh));
// coefficient corresponding to the angle at vl if vl is the vertex after vj
// while circulating around vi
const NT c_l = get(ctmap, hd);
const NT weight = c_k + c_l;
return weight;
}
// Compute the line i of matrix A
// - call compute_w_ij() to compute the A coefficient w_ij for each neighbor v_j.
// - compute w_ii = - sum of w_ijs.
//
// \pre Vertices must be indexed.
// \pre Vertex i mustn't be already parameterized.
// \pre Line i of A must contain only zeros.
template <typename VertexIndexMap>
Error_code fill_linear_system_matrix(Matrix& A,
const Triangle_mesh& mesh,
vertex_descriptor vertex,
const Cot_map ct_map,
VertexIndexMap vimap) const
{
int i = get(vimap, vertex);
// Circulate over the vertices around 'vertex' to compute w_ii and w_ijs
NT w_ii = 0;
int vertexIndex = 0;
halfedge_around_target_circulator hc(vertex, mesh), end = hc;
CGAL_For_all(hc, end) {
halfedge_descriptor hd = *hc;
CGAL_assertion(target(hd, mesh) == vertex);
NT w_ij = -1.0 * compute_w_ij(mesh, hd, ct_map);
// w_ii = - sum of w_ijs
w_ii -= w_ij;
// Get j index
vertex_descriptor v_j = source(hd, mesh);
int j = get(vimap, v_j);
// Set w_ij in matrix
A.set_coef(i, j, w_ij, true /*new*/);
vertexIndex++;
}
if (vertexIndex < 2)
return ERROR_NON_TRIANGULAR_MESH;
// Set w_ii in matrix
A.set_coef(i, i, w_ii, true /*new*/);
return OK;
}
// Initialize the (constant) matrix A in the linear system "A*X = B",
// after (at least two) border vertices parameterization.
template <typename VertexIndexMap,
typename VertexParameterizedMap>
Error_code initialize_matrix_A(const Triangle_mesh& mesh,
const Vertex_set& vertices,
const Cot_map ctmap,
VertexIndexMap vimap,
VertexParameterizedMap vpmap,
Matrix& A) const
{
Error_code status = OK;
// compute A
for(vertex_descriptor vd : vertices) {
if(!get(vpmap, vd)) { // not yet parameterized
// Compute the line i of the matrix A
status = fill_linear_system_matrix(A, mesh, vd, ctmap, vimap);
if(status != OK)
return status;
} else { // fixed vertices
int index = get(vimap, vd);
A.set_coef(index, index, 1, true /*new*/);
}
}
return status;
}
// Solves the cubic equation a3 x^3 + a2 x^2 + a1 x + a0 = 0.
std::size_t solve_cubic_equation(const NT a3, const NT a2, const NT a1, const NT a0,
std::vector<NT>& roots) const
{
CGAL_precondition(roots.empty());
NT r1 = 0, r2 = 0, r3 = 0; // roots of the cubic equation
int root_n = CGAL::solve_cubic(a3, a2, a1, a0, r1, r2, r3);
CGAL_postcondition(root_n > 0);
roots.push_back(r1);
if(root_n > 1)
roots.push_back(r2);
if(root_n > 2)
roots.push_back(r3);
return roots.size();
}
#if defined(CGAL_SMP_SOLVE_CUBIC_EQUATION) && defined(CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP)
// Solves the equation a3 x^3 + a2 x^2 + a1 x + a0 = 0, using CGAL's algebraic kernel.
std::size_t solve_cubic_equation_with_AK(const NT a3, const NT a2,
const NT a1, const NT a0,
std::vector<NT>& roots) const
{
CGAL_precondition(roots.empty());
typedef CGAL::Gmpq GMP_NT;
typedef CGAL::Algebraic_kernel_d_1<GMP_NT> Algebraic_kernel_d_1;
typedef typename Algebraic_kernel_d_1::Polynomial_1 Polynomial_1;
typedef typename Algebraic_kernel_d_1::Algebraic_real_1 Algebraic_real_1;
typedef typename Algebraic_kernel_d_1::Coefficient Coefficient;
typedef typename Algebraic_kernel_d_1::Multiplicity_type Multiplicity_type;
typedef CGAL::Polynomial_traits_d<Polynomial_1> Polynomial_traits_1;
typedef Algebraic_kernel_d_1::Solve_1 Solve_1;
Algebraic_kernel_d_1 ak_1;
const Solve_1 solve_1 = ak_1.solve_1_object();
GMP_NT a3q(a3);
GMP_NT a2q(a2);
GMP_NT a1q(a1);
GMP_NT a0q(a0);
typename Polynomial_traits_1::Construct_polynomial construct_polynomial_1;
std::pair<CGAL::Exponent_vector, Coefficient> coeffs_x[1]
= {std::make_pair(CGAL::Exponent_vector(1,0), Coefficient(1))};
Polynomial_1 x=construct_polynomial_1(coeffs_x, coeffs_x+1);
Polynomial_1 pol = a3q*CGAL::ipower(x,3) + a2q*CGAL::ipower(x,2) + a1q*x + a0q;
std::vector<std::pair<Algebraic_real_1, Multiplicity_type> > ak_roots;
solve_1(pol, std::back_inserter(ak_roots));
for(std::size_t i=0; i<ak_roots.size(); ++i)
roots.push_back(CGAL::to_double(ak_roots[i].first));
return roots.size();
}
#endif // defined(CGAL_SMP_SOLVE_CUBIC_EQUATION) && defined(CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP)
#if !defined(CGAL_SMP_SOLVE_CUBIC_EQUATION) && defined(CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP)
// Solve the bivariate system
// { C1 * a + 2 * lambda * a ( a^2 + b^2 - 1 ) = C2
// { C1 * b + 2 * lambda * b ( a^2 + b^2 - 1 ) = C3
// using CGAL's algebraic kernel.
std::size_t solve_bivariate_system(const NT C1, const NT C2, const NT C3,
std::vector<NT>& a_roots, std::vector<NT>& b_roots) const
{
typedef CGAL::Gmpq GMP_NT;
typedef CGAL::Algebraic_kernel_d_2<GMP_NT> Algebraic_kernel_d_2;
typedef typename Algebraic_kernel_d_2::Polynomial_2 Polynomial_2;
typedef typename Algebraic_kernel_d_2::Algebraic_real_2 Algebraic_real_2;
typedef typename Algebraic_kernel_d_2::Multiplicity_type Multiplicity_type;
typedef typename Algebraic_kernel_d_2::Coefficient Coefficient;
typedef CGAL::Polynomial_traits_d<Polynomial_2> Polynomial_traits_2;
typedef Algebraic_kernel_d_2::Solve_2 Solve_2;
typedef Algebraic_kernel_d_2::Is_coprime_2 Is_coprime_2;
typedef Algebraic_kernel_d_2::Make_coprime_2 Make_coprime_2;
Algebraic_kernel_d_2 ak_2;
const Is_coprime_2 is_coprime_2 = ak_2.is_coprime_2_object();
const Solve_2 solve_2 = ak_2.solve_2_object();
const Make_coprime_2 make_coprime_2 = ak_2.make_coprime_2_object();
typename Polynomial_traits_2::Construct_polynomial construct_polynomial_2;
std::pair<CGAL::Exponent_vector, Coefficient> coeffs_x[1]
= {std::make_pair(CGAL::Exponent_vector(1,0), Coefficient(1))};
Polynomial_2 x=construct_polynomial_2(coeffs_x,coeffs_x+1);
std::pair<CGAL::Exponent_vector, Coefficient> coeffs_y[1]
= {std::make_pair(CGAL::Exponent_vector(0,1), Coefficient(1))};
Polynomial_2 y=construct_polynomial_2(coeffs_y,coeffs_y+1);
GMP_NT C1q(C1);
GMP_NT C2q(C2);
GMP_NT C3q(C3);
Polynomial_2 pol1 = C1q * x + 2 * m_lambda * x * ( x*x + y*y - 1) - C2q;
Polynomial_2 pol2 = C1q * y + 2 * m_lambda * y * ( x*x + y*y - 1) - C3q;
CGAL_precondition_code(typedef Algebraic_kernel_d_2::Is_square_free_2 Is_square_free_2;)
CGAL_precondition_code(const Is_square_free_2 is_square_free_2 = ak_2.is_square_free_2_object();)
CGAL_precondition(is_square_free_2(pol1));
CGAL_precondition(is_square_free_2(pol2));
if(!is_coprime_2(pol1, pol2)) {
CGAL_assertion(false); // @todo handle that case
Polynomial_2 g, q1, q2;
make_coprime_2(pol1, pol2, g, q1, q2);
pol1 = q1;
pol2 = q2;
}
std::vector<std::pair<Algebraic_real_2, Multiplicity_type> > roots;
solve_2(pol1, pol2, std::back_inserter(roots));
for(std::size_t i=0; i<roots.size(); i++)
{
a_roots.push_back(roots[i].first.to_double().first);
b_roots.push_back(roots[i].first.to_double().second);
}
return a_roots.size();
}
#endif // !defined(CGAL_SMP_SOLVE_CUBIC_EQUATION) && defined(CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP)
// Compute the root that gives the lowest face energy.
template <typename VertexUVMap>
std::size_t compute_root_with_lowest_energy(const Triangle_mesh& mesh,
face_descriptor fd,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const VertexUVMap uvmap,
const NT C2_denom, const NT C3,
const std::vector<NT>& roots) const
{
CGAL_precondition(!roots.empty());
NT E_min = (std::numeric_limits<NT>::max)();
std::size_t index_arg = 0;
for(std::size_t i=0; i<roots.size(); ++i)
{
const NT a = roots[i];
const NT b = C3 * C2_denom * a;
NT Ef = compute_current_face_energy(mesh, fd, ctmap, lp, lpmap, uvmap, a, b);
if(Ef < E_min) {
E_min = Ef;
index_arg = i;
}
}
return index_arg;
}
// Compute the root that gives the lowest face energy.
template <typename VertexUVMap>
std::size_t compute_root_with_lowest_energy(const Triangle_mesh& mesh,
face_descriptor fd,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const VertexUVMap uvmap,
const std::vector<NT>& a_roots,
const std::vector<NT>& b_roots) const
{
CGAL_precondition(!a_roots.empty() && a_roots.size() == b_roots.size());
NT E_min = (std::numeric_limits<NT>::max)();
std::size_t index_arg = -1;
for(std::size_t i=0; i<a_roots.size(); ++i)
{
NT Ef = compute_current_face_energy(mesh, fd, ctmap, lp, lpmap, uvmap,
a_roots[i], b_roots[i]);
if(Ef < E_min) {
E_min = Ef;
index_arg = i;
}
}
return index_arg;
}
// Compute the optimal values of the linear transformation matrices Lt.
template <typename VertexUVMap>
Error_code compute_optimal_Lt_matrices(const Triangle_mesh& mesh,
const Faces_vector& faces,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const VertexUVMap uvmap,
Lt_map ltmap) const
{
Error_code status = OK;
for(face_descriptor fd : faces) {
// Compute the coefficients C1, C2, C3
NT C1 = 0., C2 = 0., C3 = 0.;
halfedge_around_face_circulator hc(halfedge(fd, mesh), mesh), end(hc);
CGAL_For_all(hc, end) {
halfedge_descriptor hd = *hc;
NT c = get(ctmap, hd);
// UV positions
const Point_2& uvpi = get(uvmap, source(hd, mesh));
const Point_2& uvpj = get(uvmap, target(hd, mesh));
NT diff_x = uvpi.x() - uvpj.x();
NT diff_y = uvpi.y() - uvpj.y();
// CGAL_warning(diff_x == 0. && diff_y == 0.);
// local positions (in the isometric 2D param)
const Local_indices& li = get(lpmap, hd);
const Point_2& ppi = lp[ li.first ];
const Point_2& ppj = lp[ li.second ];
NT p_diff_x = ppi.x() - ppj.x();
NT p_diff_y = ppi.y() - ppj.y();
CGAL_precondition(p_diff_x != 0. || p_diff_y != 0.);
C1 += c * ( p_diff_x*p_diff_x + p_diff_y*p_diff_y );
C2 += c * ( diff_x*p_diff_x + diff_y*p_diff_y );
C3 += c * ( diff_x*p_diff_y - diff_y*p_diff_x );
}
// Compute a and b
NT a = 0., b = 0.;
if(m_lambda == 0.) { // ASAP
CGAL_precondition(C1 != 0.);
a = C2 / C1;
b = C3 / C1;
}
else if( std::abs(C1) < m_lambda_tolerance * m_lambda &&
std::abs(C2) < m_lambda_tolerance * m_lambda ) { // ARAP
// If lambda is large compared to C1 and C2, the cubic equation that
// determines a and b can be simplified to a simple quadric equation
CGAL_precondition(C2*C2 + C3*C3 != 0.);
NT denom = 1. / CGAL::sqrt(C2*C2 + C3*C3);
a = C2 * denom;
b = C3 * denom;
}
else { // general case
#ifdef CGAL_SMP_SOLVE_CUBIC_EQUATION
CGAL_precondition(C2 != 0.);
NT C2_denom = 1. / C2;
NT a3_coeff = 2. * m_lambda * (C2 * C2 + C3 * C3) * C2_denom * C2_denom;
std::vector<NT> roots;
#ifdef CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP
solve_cubic_equation_with_AK(a3_coeff, 0., (C1 - 2. * m_lambda), -C2, roots);
#else // !CGAL_SMP_SOLVE_EQUATIONS_WITH_GMP
solve_cubic_equation(a3_coeff, 0., (C1 - 2. * m_lambda), -C2, roots);
#endif
std::size_t ind = compute_root_with_lowest_energy(mesh, fd,
ctmap, lp, lpmap, uvmap,
C2_denom, C3, roots);
a = roots[ind];
b = C3 * C2_denom * a;
#else // !CGAL_SMP_SOLVE_CUBIC_EQUATION, solve the bivariate system
std::vector<NT> a_roots;
std::vector<NT> b_roots;
solve_bivariate_system(C1, C2, C3, a_roots, b_roots);
std::size_t ind = compute_root_with_lowest_energy(mesh, fd,
ctmap, lp, lpmap, uvmap,
a_roots, b_roots);
a = a_roots[ind];
b = b_roots[ind];
#endif
}
// Update the map faces --> optimal Lt matrices
Lt_matrix ltm = std::make_pair(a, b);
put(ltmap, fd, ltm);
}
return status;
}
// Computes the coordinates of the vertices p0, p1, p2
// in a local 2D orthonormal basis of the triangle's plane.
void project_triangle(const Point_3& p0, const Point_3& p1, const Point_3& p2, // in
Point_2& z0, Point_2& z1, Point_2& z2) const // out
{
Vector_3 X = p1 - p0;
NT X_norm = CGAL::sqrt(X * X);
if(X_norm != 0.0)
X = X / X_norm;
Vector_3 Z = CGAL::cross_product(X, p2 - p0);
NT Z_norm = CGAL::sqrt(Z * Z);
if(Z_norm != 0.0)
Z = Z / Z_norm;
Vector_3 Y = CGAL::cross_product(Z, X);
NT x0 = 0;
NT y0 = 0;
NT x1 = CGAL::sqrt( (p1 - p0)*(p1 - p0) );
NT y1 = 0;
NT x2 = (p2 - p0) * X;
NT y2 = (p2 - p0) * Y;
z0 = Point_2(x0, y0);
z1 = Point_2(x1, y1);
z2 = Point_2(x2, y2);
}
// Compute the local parameterization (2D) of a face and store it in memory.
void project_face(const Triangle_mesh& mesh,
vertex_descriptor vi,
vertex_descriptor vj,
vertex_descriptor vk,
Local_points& lp) const
{
typedef typename boost::property_map<Triangle_mesh,
boost::vertex_point_t>::const_type PPmap;
const PPmap ppmap = get(vertex_point, mesh);
const Point_3& position_vi = get(ppmap, vi);
const Point_3& position_vj = get(ppmap, vj);
const Point_3& position_vk = get(ppmap, vk);
Point_2 pvi, pvj, pvk;
project_triangle(position_vi, position_vj, position_vk,
pvi, pvj, pvk);
// Add the newly computed 2D points to the vector of local positions
lp.push_back(pvi);
lp.push_back(pvj);
lp.push_back(pvk);
}
// Utility for fill_linear_system_rhs():
// Compute the local isometric parameterization (2D) of the faces of the mesh.
Error_code compute_local_parameterization(const Triangle_mesh& mesh,
const Faces_vector& faces,
Local_points& lp,
Lp_map lpmap) const
{
int global_index = 0;
for(face_descriptor fd : faces) {
halfedge_descriptor hd = halfedge(fd, mesh), hdb = hd;
vertex_descriptor vi = target(hd, mesh); // hd is k -- > i
put(lpmap, hd, std::make_pair(global_index + 2, global_index));
hd = next(hd, mesh);
vertex_descriptor vj = target(hd, mesh); // hd is i -- > j
put(lpmap, hd, std::make_pair(global_index, global_index + 1));
hd = next(hd, mesh);
vertex_descriptor vk = target(hd, mesh); // hd is j -- > k
put(lpmap, hd, std::make_pair(global_index + 1, global_index + 2));
hd = next(hd, mesh);
if(hd != hdb) { // to make sure that it is a triangular face
return ERROR_NON_TRIANGULAR_MESH;
}
project_face(mesh, vi, vj, vk, lp);
global_index += 3;
}
if(lp.size() != 3 * faces.size())
return ERROR_NON_TRIANGULAR_MESH;
return OK;
}
// Compute the coefficient b_ij = (i,j) of the right hand side vector B,
// for j neighbor vertex of i.
void compute_b_ij(const Triangle_mesh& mesh,
halfedge_descriptor hd,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const Lt_map ltmap,
NT& x, NT& y) const // x for Bu and y for Bv
{
CGAL_precondition(x == 0.0 && y == 0.0);
// Note that :
// -- Circulators move in a clockwise manner
// -- The halfedge hd points to vi
// -- Face IJK with vk before vj while circulating around vi
halfedge_descriptor hd_opp = opposite(hd, mesh); // hd_opp points to vj
face_descriptor fd_k = face(hd_opp, mesh);
// Get the matrix L_t corresponding to the face ijk
const Lt_matrix& ltm_k = get(ltmap, fd_k);
NT a_k = ltm_k.first;
NT b_k = ltm_k.second;
// Get the local parameterization in the triangle ijk
const Local_indices& loc_indices_k = get(lpmap, hd_opp);
const Point_2& pvi_k = lp[ loc_indices_k.first ];
const Point_2& pvj_k = lp[ loc_indices_k.second ];
// x_i - x_j in the local parameterization of the triangle ijk
NT diff_k_x = pvi_k.x() - pvj_k.x();
NT diff_k_y = pvi_k.y() - pvj_k.y();
// get the cotangent angle at vk
NT ct_k = get(ctmap, hd_opp);
// cot_k * Lt_k * (xi - xj)_k
x = ct_k * ( a_k * diff_k_x + b_k * diff_k_y );
y = ct_k * ( -b_k * diff_k_x + a_k * diff_k_y );
// -- Face IJL with vl after vj while circulating around vi
face_descriptor fd_l = face(hd, mesh);
// Get the matrix L_t corresponding to the face ijl
const Lt_matrix& ltm_l = get(ltmap, fd_l);
NT a_l = ltm_l.first;
NT b_l = ltm_l.second;
// Get the local parameterization in the triangle ijl
const Local_indices& loc_indices_l = get(lpmap, hd);
const Point_2& pvi_l = lp[ loc_indices_l.second ]; // because hd points to vi
const Point_2& pvj_l = lp[ loc_indices_l.first ];
// x_i - x_j in the local parameterization of the triangle ijl
NT diff_l_x = pvi_l.x() - pvj_l.x();
NT diff_l_y = pvi_l.y() - pvj_l.y();
// get the cotangent angle at vl
NT ct_l = get(ctmap, hd);
// cot_l * Lt_l * (xi - xj)_l
x += ct_l * ( a_l * diff_l_x + b_l * diff_l_y );
y += ct_l * ( -b_l * diff_l_x + a_l * diff_l_y );
}
// Compute the line i of right hand side vectors Bu and Bv
// - call compute_b_ij() for each neighbor v_j to compute the B coefficient b_i
//
// \pre Vertices must be indexed.
// \pre Vertex i mustn't be already parameterized.
// \pre Lines i of Bu and Bv must be zero.
template <typename VertexIndexMap>
Error_code fill_linear_system_rhs(const Triangle_mesh& mesh,
vertex_descriptor vertex,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const Lt_map ltmap,
VertexIndexMap vimap,
Vector& Bu, Vector& Bv) const
{
int i = get(vimap, vertex);
// Circulate over vertices around 'vertex' to compute w_ii and w_ijs
NT bu_i = 0, bv_i = 0;
int vertexIndex = 0;
halfedge_around_target_circulator hc(vertex, mesh), end = hc;
CGAL_For_all(hc, end) {
halfedge_descriptor hd = *hc;
CGAL_assertion(target(hd, mesh) == vertex);
NT x = 0., y = 0.;
compute_b_ij(mesh, hd, ctmap, lp, lpmap, ltmap, x, y);
bu_i += x;
bv_i += y;
vertexIndex++;
}
// Set the entries for the right hand side vectors
Bu.set(i, bu_i);
Bv.set(i, bv_i);
if (vertexIndex < 2)
return ERROR_NON_TRIANGULAR_MESH;
return OK;
}
// Compute the entries of the right hand side of the ARAP linear system.
//
// \pre Vertices must be indexed.
template <typename VertexUVMap,
typename VertexIndexMap,
typename VertexParameterizedMap>
Error_code compute_rhs(const Triangle_mesh& mesh,
const Vertex_set& vertices,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const Lt_map ltmap,
VertexUVMap uvmap,
VertexIndexMap vimap,
VertexParameterizedMap vpmap,
Vector& Bu, Vector& Bv) const
{
// Initialize the right hand side B in the linear system "A*X = B"
Error_code status = OK;
for(vertex_descriptor vd : vertices) {
if(!get(vpmap, vd)) { // not yet parameterized
// Compute the lines i of the vectors Bu and Bv
status = fill_linear_system_rhs(mesh, vd, ctmap, lp, lpmap,
ltmap, vimap, Bu, Bv);
if(status != OK)
return status;
} else { // fixed vertices
int index = get(vimap, vd);
const Point_2& uv = get(uvmap, vd);
Bu.set(index, uv.x());
Bv.set(index, uv.y());
}
}
return status;
}
// Compute the right hand side and solve the linear system to obtain the
// new UV coordinates.
template <typename VertexUVMap,
typename VertexIndexMap,
typename VertexParameterizedMap>
Error_code update_solution(const Triangle_mesh& mesh,
const Vertex_set& vertices,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const Lt_map ltmap,
VertexUVMap uvmap,
VertexIndexMap vimap,
VertexParameterizedMap vpmap,
const Matrix& A)
{
Error_code status = OK;
// Create two sparse linear systems "A*Xu = Bu" and "A*Xv = Bv"
int nbVertices = static_cast<int>(vertices.size());
Vector Xu(nbVertices), Xv(nbVertices), Bu(nbVertices), Bv(nbVertices);
// Fill the right hand side vectors
status = compute_rhs(mesh, vertices, ctmap, lp, lpmap, ltmap,
uvmap, vimap, vpmap, Bu, Bv);
if (status != OK)
return status;
// Solve "A*Xu = Bu". On success, the solution is (1/Du) * Xu.
// Solve "A*Xv = Bv". On success, the solution is (1/Dv) * Xv.
double Du, Dv;
if(!get_linear_algebra_traits().linear_solver(A, Bu, Xu, Du) ||
!get_linear_algebra_traits().linear_solver(A, Bv, Xv, Dv)) {
std::cerr << "Could not solve linear system" << std::endl;
status = ERROR_CANNOT_SOLVE_LINEAR_SYSTEM;
return status;
}
// WARNING: this package does not support homogeneous coordinates!
CGAL_assertion(Du == 1.0);
CGAL_assertion(Dv == 1.0);
CGAL_postcondition_code
(
// make sure that the constrained vertices have not been moved
for(vertex_descriptor vd : vertices) {
if(get(vpmap, vd)) {
int index = get(vimap, vd);
CGAL_warning(std::abs(Xu[index] - Bu[index] ) < 1e-7);
CGAL_warning(std::abs(Xv[index] - Bv[index] ) < 1e-7);
}
}
)
assign_solution(Xu, Xv, vertices, uvmap, vimap, vpmap);
return status;
}
// Compute the current energy of a face, given a linear transformation matrix.
template <typename VertexUVMap>
NT compute_current_face_energy(const Triangle_mesh& mesh,
face_descriptor fd,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const VertexUVMap uvmap,
const NT a, const NT b) const
{
NT Ef = 0.;
halfedge_around_face_circulator hc(halfedge(fd, mesh), mesh), end(hc);
CGAL_For_all(hc, end) {
halfedge_descriptor hd = *hc;
NT cot = get(ctmap, hd);
NT nabla_x = 0., nabla_y = 0.;
// UV positions
const Point_2& pi = get(uvmap, source(hd, mesh));
const Point_2& pj = get(uvmap, target(hd, mesh));
NT diff_x = pi.x() - pj.x();
NT diff_y = pi.y() - pj.y();
// local positions (in the 2D param)
const Local_indices& li = get(lpmap, hd);
const Point_2& ppi = lp[ li.first ];
const Point_2& ppj = lp[ li.second ];
NT p_diff_x = ppi.x() - ppj.x();
NT p_diff_y = ppi.y() - ppj.y();
nabla_x = diff_x - ( a * p_diff_x + b * p_diff_y );
nabla_y = diff_y - ( -b * p_diff_x + a * p_diff_y );
NT sq_nabla_norm = nabla_x * nabla_x + nabla_y * nabla_y;
Ef += cot * sq_nabla_norm;
}
NT s = a * a + b * b - 1;
Ef += m_lambda * s * s;
return Ef;
}
// Compute the current energy of a face.
template <typename VertexUVMap>
NT compute_current_face_energy(const Triangle_mesh& mesh,
face_descriptor fd,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const Lt_map ltmap,
const VertexUVMap uvmap) const
{
const Lt_matrix& ltm = get(ltmap, fd); // the (current) optimal linear transformation
NT a = ltm.first;
NT b = ltm.second;
return compute_current_face_energy(mesh, fd, ctmap, lp, lpmap, uvmap, a, b);
}
// Compute the current energy of the parameterization.
template <typename VertexUVMap>
NT compute_current_energy(const Triangle_mesh& mesh,
const Faces_vector& faces,
const Cot_map ctmap,
const Local_points& lp,
const Lp_map lpmap,
const Lt_map ltmap,
const VertexUVMap uvmap) const
{
NT E = 0.;
for(face_descriptor fd : faces) {
NT Ef = compute_current_face_energy(mesh, fd, ctmap, lp, lpmap,
ltmap, uvmap);
E += Ef;
}
E *= 0.5;
return E;
}
// Post processing functions
// Use the convex virtual boundary algorithm of Karni et al.[2005] to fix
// the (hopefully few) flips in the result.
template <typename VertexUVMap,
typename VertexIndexMap>
Error_code post_process(const Triangle_mesh& mesh,
const Vertex_set& vertices,
const Faces_vector& faces,
halfedge_descriptor bhd,
VertexUVMap uvmap,
const VertexIndexMap vimap) const
{
typedef MVC_post_processor_3<Triangle_mesh> Post_processor;
Post_processor p;
Error_code status = p.parameterize(mesh, vertices, faces, bhd, uvmap, vimap);
if(status != OK)
return status;
#ifdef CGAL_SMP_ARAP_DEBUG
output_uvmap("ARAP_final_post_processing.off", mesh, vertices, faces, uvmap, vimap);
#endif
return OK;
}
// Public operations
public:
/// returns whether the 3D -> 2D mapping is one-to-one.
template <typename FaceRange, typename VertexUVMap>
bool is_one_to_one_mapping(const Triangle_mesh& mesh,
const FaceRange& faces,
const VertexUVMap uvmap) const
{
return internal::is_one_to_one_mapping(mesh, faces, uvmap);
}
/// computes a mapping from a triangular 3D surface mesh to a piece of the 2D space.
/// The mapping is piecewise linear (linear in each triangle).
/// The result is the (u,v) pair image of each vertex of the 3D surface.
///
/// \tparam VertexUVmap must be a model of `ReadWritePropertyMap` with
/// `boost::graph_traits<Triangle_mesh>::%vertex_descriptor` as key type and
/// %Point_2 (type deduced from `Triangle_mesh` using `Kernel_traits`)
/// as value type.
/// \tparam VertexIndexMap must be a model of `ReadablePropertyMap` with
/// `boost::graph_traits<Triangle_mesh>::%vertex_descriptor` as key type and
/// a unique integer as value type.
/// \tparam VertexParameterizedMap must be a model of `ReadWritePropertyMap` with
/// `boost::graph_traits<Triangle_mesh>::%vertex_descriptor` as key type and
/// a Boolean as value type.
///
/// \param mesh a triangulated surface.
/// \param bhd a halfedge descriptor on the boundary of `mesh`.
/// \param uvmap an instantiation of the class `VertexUVmap`.
/// \param vimap an instantiation of the class `VertexIndexMap`.
/// \param vpmap an instantiation of the class `VertexParameterizedMap`.
///
/// \pre `mesh` must be a triangular mesh.
/// \pre The vertices must be indexed (vimap must be initialized).
///
template <typename VertexUVMap,
typename VertexIndexMap,
typename VertexParameterizedMap>
Error_code parameterize(Triangle_mesh& mesh,
halfedge_descriptor bhd,
VertexUVMap uvmap,
VertexIndexMap vimap,
VertexParameterizedMap vpmap)
{
CGAL_precondition(is_valid_polygon_mesh(mesh));
CGAL_precondition(is_triangle_mesh(mesh));
CGAL_precondition(bhd != boost::graph_traits<Triangle_mesh>::null_halfedge() && is_border(bhd, mesh));
Error_code status = OK;
// vertices and faces containers
Faces_vector faces;
Vertex_set vertices;
status = initialize_containers(mesh, bhd, vertices, faces);
if(status != OK)
return status;
// linear transformation matrices L_t
// Only need to store 2 indices since the complete matrix is {{a,b},{-b,a}}
Lt_hash_map lt_hm;
Lt_map ltmap(lt_hm); // will be filled in 'compute_optimal_Lt_matrices()'
// Compute the initial parameterization of the mesh
status = compute_initial_uv_map(mesh, bhd, uvmap, vimap);
#ifdef CGAL_SMP_ARAP_DEBUG
output_uvmap("ARAP_initial_param.off", mesh, vertices, faces, uvmap, vimap);
#endif
if(status != OK)
return status;
// Handle the boundary condition depending on lambda
status = parameterize_border<VertexUVMap>(mesh, vertices, bhd, vimap, vpmap);
if(status != OK)
return status;
// Compute all cotangent angles
Cot_hm cthm;
Cot_map ctmap(cthm);
status = compute_cotangent_angles(mesh, faces, ctmap);
if(status != OK)
return status;
// Compute all local 2D parameterizations
Lp_hm lphm;
Lp_map lpmap(lphm);
Local_points lp;
status = compute_local_parameterization(mesh, faces, lp, lpmap);
if(status != OK)
return status;
// The matrix A is constant and can be initialized outside of the loop
int nbVertices = static_cast<int>(vertices.size());
Matrix A(nbVertices, nbVertices); // the constant matrix using in the linear system A*X = B
status = initialize_matrix_A(mesh, vertices, ctmap, vimap, vpmap, A);
if(status != OK)
return status;
NT energy_this = compute_current_energy(mesh, faces, ctmap, lp, lpmap,
ltmap, uvmap);
NT energy_last;
#ifdef CGAL_PARAMETERIZATION_ARAP_VERBOSE
std::cout << "Initial energy: " << energy_this << std::endl;
std::cout << m_iterations << " max iterations" << std::endl;
#endif
// main loop
unsigned int ite = 1;
for(;;)
{
compute_optimal_Lt_matrices(mesh, faces, ctmap, lp, lpmap, uvmap, ltmap);
status = update_solution(mesh, vertices, ctmap, lp, lpmap, ltmap,
uvmap, vimap, vpmap, A);
// Output the current parameterization
#ifdef CGAL_SMP_ARAP_DEBUG
output_uvmap("ARAP_iteration_", ite, mesh, vertices, faces, uvmap, vimap);
#endif
if(status != OK)
return status;
// energy based termination
if(m_tolerance > 0. && ite <= m_iterations) { // if tolerance <= 0, don't compute energy
energy_last = energy_this;
energy_this = compute_current_energy(mesh, faces, ctmap, lp, lpmap, ltmap, uvmap);
#ifdef CGAL_PARAMETERIZATION_ARAP_VERBOSE
std::cout << "Energy at iteration " << ite << " : " << energy_this << std::endl;
#endif
if(energy_this < 0) {
// numerical issues can make it so you may get an energy of -1e-17,
// but it shouldn't be too wrong
CGAL_assertion(energy_this >= - std::numeric_limits<NT>::epsilon());
break;
}
double energy_diff = std::abs((energy_last - energy_this) / energy_this);
if(energy_diff < m_tolerance) {
break;
}
}
if(ite >= m_iterations)
break;
else
++ite;
}
#ifdef CGAL_PARAMETERIZATION_ARAP_VERBOSE
std::cout << "Minimization process ended after: " << ite << " iterations. " << std::endl;
#endif
#ifdef CGAL_SMP_ARAP_DEBUG
output_uvmap("ARAP_final_pre_processing.off", mesh, vertices, faces, uvmap, vimap);
#endif
if(!is_one_to_one_mapping(mesh, faces, uvmap)) {
// Use post processing to handle flipped elements
#ifdef CGAL_PARAMETERIZATION_ARAP_VERBOSE
std::cout << "Parameterization is not valid; calling post processor" << std::endl;
#endif
status = post_process(mesh, vertices, faces, bhd, uvmap, vimap);
}
return status;
}
public:
/// Constructor taking only the parameter \f$\lambda\f$.
ARAP_parameterizer_3(NT lambda)
:
m_borderParameterizer(Border_parameterizer()),
m_linearAlgebra(Solver_traits()),
m_lambda(lambda),
m_lambda_tolerance(1e-10),
m_iterations(50),
m_tolerance(1e-6)
{ }
/// %Default Constructor.
///
/// \param border_param %Object that maps the surface's border to the 2D space.
/// \param sparse_la %Traits object to access a sparse linear system.
/// \param lambda Parameter to give importance to shape or angle preservation.
/// \param iterations Maximal number of iterations in the energy minimization process.
/// \param tolerance Minimal energy difference between two iterations for the minimization
/// process to continue.
///
ARAP_parameterizer_3(Border_parameterizer border_param = Border_parameterizer(),
Solver_traits sparse_la = Solver_traits(),
NT lambda = 1000.,
unsigned int iterations = 50,
NT tolerance = 1e-6)
:
m_borderParameterizer(border_param),
m_linearAlgebra(sparse_la),
m_lambda(lambda),
m_lambda_tolerance(1e-10),
m_iterations(iterations),
m_tolerance(tolerance)
{ }
// Default copy constructor and operator=() are fine
};
} // namespace Surface_mesh_parameterization
} // namespace CGAL
#include <CGAL/enable_warnings.h>
#endif // CGAL_SURFACE_MESH_PARAMETERIZATION_ARAP_PARAMETERIZER_3_H
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