libigl/include/igl/bijective_composite_harmonic_mapping.cpp

// This file is part of libigl, a simple c++ geometry processing library.
//
// Copyright (C) 2017 Alec Jacobson <[email protected]>
//
// This Source Code Form is subject to the terms of the Mozilla Public License
// v. 2.0. If a copy of the MPL was not distributed with this file, You can
// obtain one at http://mozilla.org/MPL/2.0/.
#include "bijective_composite_harmonic_mapping.h"

#include "slice.h"
#include "doublearea.h"
#include "harmonic.h"
//#include "matlab/MatlabWorkspace.h"
#include <iostream>

template <
  typename DerivedV,
  typename DerivedF,
  typename Derivedb,
  typename Derivedbc,
  typename DerivedU>
IGL_INLINE bool igl::bijective_composite_harmonic_mapping(
  const Eigen::MatrixBase<DerivedV> & V,
  const Eigen::MatrixBase<DerivedF> & F,
  const Eigen::MatrixBase<Derivedb> & b,
  const Eigen::MatrixBase<Derivedbc> & bc,
  Eigen::PlainObjectBase<DerivedU> & U)
{
  return bijective_composite_harmonic_mapping(V,F,b,bc,1,200,20,true,U);
}

template <
  typename DerivedV,
  typename DerivedF,
  typename Derivedb,
  typename Derivedbc,
  typename DerivedU>
IGL_INLINE bool igl::bijective_composite_harmonic_mapping(
  const Eigen::MatrixBase<DerivedV> & V,
  const Eigen::MatrixBase<DerivedF> & F,
  const Eigen::MatrixBase<Derivedb> & b,
  const Eigen::MatrixBase<Derivedbc> & bc,
  const int min_steps,
  const int max_steps,
  const int num_inner_iters,
  const bool test_for_flips,
  Eigen::PlainObjectBase<DerivedU> & U)
{
  typedef typename Derivedbc::Scalar Scalar;
  assert(V.cols() == 2 && bc.cols() == 2 && "Input should be 2D");
  assert(F.cols() == 3 && "F should contain triangles");
  int nsteps = min_steps;
  Eigen::Matrix<typename Derivedbc::Scalar, Eigen::Dynamic, Eigen::Dynamic> bc0;
  slice(V,b.col(0),1,bc0);

  // It's difficult to check for flips "robustly" in the sense that the input
  // mesh might not have positive/consistent sign to begin with.

  while(nsteps<=max_steps)
  {
    U = V;
    int flipped = 0;
    int nans = 0;
    int step = 0;
    for(;step<=nsteps;step++)
    {
      const Scalar t = ((Scalar)step)/((Scalar)nsteps);
      // linearly interpolate boundary conditions
      // TODO: replace this with something that guarantees a homotopic "morph"
      // of the boundary conditions. Something like "Homotopic Morphing of
      // Planar Curves" [Dym et al. 2015] but also handling multiple connected
      // components.
      Eigen::Matrix<typename Derivedbc::Scalar, Eigen::Dynamic, Eigen::Dynamic> bct = bc0 + t * (bc - bc0);
      // Compute dsicrete harmonic map using metric of previous step
      for(int iter = 0;iter<num_inner_iters;iter++)
      {
        //std::cout<<nsteps<<" t: "<<t<<" iter: "<<iter;
        //igl::matlab::MatlabWorkspace mw;
        //mw.save(U,"U");
        //mw.save_index(F,"F");
        //mw.save_index(b,"b");
        //mw.save(bct,"bct");
        //mw.write("numerical.mat");
        harmonic(Eigen::Matrix<typename DerivedU::Scalar, Eigen::Dynamic, Eigen::Dynamic>(U), F, b, bct, 1, U);
        igl::slice(U,b.col(0),1,bct);
        nans = (U.array() != U.array()).count();
        if(test_for_flips)
        {
          Eigen::Matrix<Scalar,Eigen::Dynamic,1> A;
          doublearea(U,F,A);
          flipped = (A.array() < 0 ).count();
          //std::cout<<"  "<<flipped<<"  nan? "<<(U.array() != U.array()).any()<<std::endl;
          if(flipped == 0 && nans == 0) break;
        }
      }
      if(flipped > 0 || nans>0) break;
    }
    if(flipped == 0 && nans == 0)
    {
      return step == nsteps+1;
    }
    nsteps *= 2;
  }
  //std::cout<<"failed to finish in "<<nsteps<<"..."<<std::endl;
  return false;
}

#ifdef IGL_STATIC_LIBRARY
// Explicit template instantiation
// generated by autoexplicit.sh
template bool igl::bijective_composite_harmonic_mapping<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >&);
// generated by autoexplicit.sh
template bool igl::bijective_composite_harmonic_mapping<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, int, int, int, bool, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >&);
#endif