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							128 lines
						
					
					
						
							5.9 KiB
						
					
					
				
								// This file is part of libigl, a simple c++ geometry processing library.
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								// 
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								// Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
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								// 
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								// This Source Code Form is subject to the terms of the Mozilla Public License 
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								// v. 2.0. If a copy of the MPL was not distributed with this file, You can 
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								// obtain one at http://mozilla.org/MPL/2.0/.
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								#include "massmatrix_intrinsic.h"
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								#include "edge_lengths.h"
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								#include "normalize_row_sums.h"
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								#include "sparse.h"
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								#include "doublearea.h"
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								#include "repmat.h"
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								#include <Eigen/Geometry>
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								#include <iostream>
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								#include <cassert>
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								template <typename Derivedl, typename DerivedF, typename Scalar>
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								IGL_INLINE void igl::massmatrix_intrinsic(
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								  const Eigen::MatrixBase<Derivedl> & l, 
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								  const Eigen::MatrixBase<DerivedF> & F, 
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								  const MassMatrixType type,
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								  Eigen::SparseMatrix<Scalar>& M)
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								{
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								  const int n = F.maxCoeff()+1;
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								  return massmatrix_intrinsic(l,F,type,n,M);
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								}
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								template <typename Derivedl, typename DerivedF, typename Scalar>
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								IGL_INLINE void igl::massmatrix_intrinsic(
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								  const Eigen::MatrixBase<Derivedl> & l, 
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								  const Eigen::MatrixBase<DerivedF> & F, 
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								  const MassMatrixType type,
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								  const int n,
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								  Eigen::SparseMatrix<Scalar>& M)
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								{
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								  using namespace Eigen;
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								  using namespace std;
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								  MassMatrixType eff_type = type;
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								  const int m = F.rows();
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								  const int simplex_size = F.cols();
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								  // Use voronoi of for triangles by default, otherwise barycentric
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								  if(type == MASSMATRIX_TYPE_DEFAULT)
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								  {
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								    eff_type = (simplex_size == 3?MASSMATRIX_TYPE_VORONOI:MASSMATRIX_TYPE_BARYCENTRIC);
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								  }
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								  assert(F.cols() == 3 && "only triangles supported");
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								  Matrix<Scalar,Dynamic,1> dblA;
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								  doublearea(l,0.,dblA);
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								  Matrix<typename DerivedF::Scalar,Dynamic,1> MI;
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								  Matrix<typename DerivedF::Scalar,Dynamic,1> MJ;
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								  Matrix<Scalar,Dynamic,1> MV;
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								  switch(eff_type)
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								  {
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								    case MASSMATRIX_TYPE_BARYCENTRIC:
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								      // diagonal entries for each face corner
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								      MI.resize(m*3,1); MJ.resize(m*3,1); MV.resize(m*3,1);
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								      MI.block(0*m,0,m,1) = F.col(0);
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								      MI.block(1*m,0,m,1) = F.col(1);
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								      MI.block(2*m,0,m,1) = F.col(2);
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								      MJ = MI;
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								      repmat(dblA,3,1,MV);
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								      MV.array() /= 6.0;
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								      break;
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								    case MASSMATRIX_TYPE_VORONOI:
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								      {
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								        // diagonal entries for each face corner
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								        // http://www.alecjacobson.com/weblog/?p=874
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								        MI.resize(m*3,1); MJ.resize(m*3,1); MV.resize(m*3,1);
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								        MI.block(0*m,0,m,1) = F.col(0);
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								        MI.block(1*m,0,m,1) = F.col(1);
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								        MI.block(2*m,0,m,1) = F.col(2);
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								        MJ = MI;
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								        // Holy shit this needs to be cleaned up and optimized
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								        Matrix<Scalar,Dynamic,3> cosines(m,3);
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								        cosines.col(0) = 
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								          (l.col(2).array().pow(2)+l.col(1).array().pow(2)-l.col(0).array().pow(2))/(l.col(1).array()*l.col(2).array()*2.0);
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								        cosines.col(1) = 
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								          (l.col(0).array().pow(2)+l.col(2).array().pow(2)-l.col(1).array().pow(2))/(l.col(2).array()*l.col(0).array()*2.0);
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								        cosines.col(2) = 
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								          (l.col(1).array().pow(2)+l.col(0).array().pow(2)-l.col(2).array().pow(2))/(l.col(0).array()*l.col(1).array()*2.0);
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								        Matrix<Scalar,Dynamic,3> barycentric = cosines.array() * l.array();
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								        normalize_row_sums(barycentric,barycentric);
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								        Matrix<Scalar,Dynamic,3> partial = barycentric;
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								        partial.col(0).array() *= dblA.array() * 0.5;
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								        partial.col(1).array() *= dblA.array() * 0.5;
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								        partial.col(2).array() *= dblA.array() * 0.5;
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								        Matrix<Scalar,Dynamic,3> quads(partial.rows(),partial.cols());
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								        quads.col(0) = (partial.col(1)+partial.col(2))*0.5;
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								        quads.col(1) = (partial.col(2)+partial.col(0))*0.5;
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								        quads.col(2) = (partial.col(0)+partial.col(1))*0.5;
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								        quads.col(0) = (cosines.col(0).array()<0).select( 0.25*dblA,quads.col(0));
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								        quads.col(1) = (cosines.col(0).array()<0).select(0.125*dblA,quads.col(1));
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								        quads.col(2) = (cosines.col(0).array()<0).select(0.125*dblA,quads.col(2));
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								        quads.col(0) = (cosines.col(1).array()<0).select(0.125*dblA,quads.col(0));
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								        quads.col(1) = (cosines.col(1).array()<0).select(0.25*dblA,quads.col(1));
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								        quads.col(2) = (cosines.col(1).array()<0).select(0.125*dblA,quads.col(2));
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								        quads.col(0) = (cosines.col(2).array()<0).select(0.125*dblA,quads.col(0));
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								        quads.col(1) = (cosines.col(2).array()<0).select(0.125*dblA,quads.col(1));
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								        quads.col(2) = (cosines.col(2).array()<0).select( 0.25*dblA,quads.col(2));
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								        MV.block(0*m,0,m,1) = quads.col(0);
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								        MV.block(1*m,0,m,1) = quads.col(1);
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								        MV.block(2*m,0,m,1) = quads.col(2);
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								        break;
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								      }
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								    case MASSMATRIX_TYPE_FULL:
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								      assert(false && "Implementation incomplete");
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								      break;
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								    default:
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								      assert(false && "Unknown Mass matrix eff_type");
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								  }
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								  sparse(MI,MJ,MV,n,n,M);
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								}
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								#ifdef IGL_STATIC_LIBRARY
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								// Explicit template instantiation
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								template void igl::massmatrix_intrinsic<Eigen::Matrix<double, -1, 3, 0, -1, 3>, Eigen::Matrix<int, -1, 4, 0, -1, 4>, double>(Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, -1, 3> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 4, 0, -1, 4> > const&, igl::MassMatrixType, Eigen::SparseMatrix<double, 0, int>&);
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								template void igl::massmatrix_intrinsic<Eigen::Matrix<double, -1, 3, 0, -1, 3>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, double>(Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, -1, 3> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, igl::MassMatrixType, Eigen::SparseMatrix<double, 0, int>&);
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								template void igl::massmatrix_intrinsic<Eigen::Matrix<double, -1, 3, 0, -1, 3>, Eigen::Matrix<int, -1, 3, 1, -1, 3>, double>(Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, -1, 3> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 3, 1, -1, 3> > const&, igl::MassMatrixType, Eigen::SparseMatrix<double, 0, int>&);
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								template void igl::massmatrix_intrinsic<Eigen::Matrix<double, -1, 3, 0, -1, 3>, Eigen::Matrix<int, -1, 3, 0, -1, 3>, double>(Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, -1, 3> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 3, 0, -1, 3> > const&, igl::MassMatrixType, Eigen::SparseMatrix<double, 0, int>&);
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								#endif
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