73 lines
1.9 KiB
C++
73 lines
1.9 KiB
C++
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// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2014 Daniele Panozzo <daniele.panozzo@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 "lscm.h"
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#include "vector_area_matrix.h"
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#include "cotmatrix.h"
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#include "repdiag.h"
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#include "min_quad_with_fixed.h"
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#include <iostream>
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IGL_INLINE bool igl::lscm(
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const Eigen::MatrixXd& V,
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const Eigen::MatrixXi& F,
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const Eigen::VectorXi& b,
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const Eigen::MatrixXd& bc,
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Eigen::MatrixXd & V_uv)
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{
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using namespace Eigen;
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using namespace std;
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// Assemble the area matrix (note that A is #Vx2 by #Vx2)
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SparseMatrix<double> A;
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igl::vector_area_matrix(F,A);
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// Assemble the cotan laplacian matrix
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SparseMatrix<double> L;
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igl::cotmatrix(V,F,L);
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SparseMatrix<double> L_flat;
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repdiag(L,2,L_flat);
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VectorXi b_flat(b.size()*bc.cols(),1);
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VectorXd bc_flat(bc.size(),1);
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for(int c = 0;c<bc.cols();c++)
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{
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b_flat.block(c*b.size(),0,b.rows(),1) = c*V.rows() + b.array();
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bc_flat.block(c*bc.rows(),0,bc.rows(),1) = bc.col(c);
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}
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// Minimize the LSCM energy
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SparseMatrix<double> Q = -L_flat + 2.*A;
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const VectorXd B_flat = VectorXd::Zero(V.rows()*2);
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igl::min_quad_with_fixed_data<double> data;
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if(!igl::min_quad_with_fixed_precompute(Q,b_flat,SparseMatrix<double>(),true,data))
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{
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return false;
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}
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MatrixXd W_flat;
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if(!min_quad_with_fixed_solve(data,B_flat,bc_flat,VectorXd(),W_flat))
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{
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return false;
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}
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assert(W_flat.rows() == V.rows()*2);
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V_uv.resize(V.rows(),2);
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for (unsigned i=0;i<V_uv.cols();++i)
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{
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V_uv.col(V_uv.cols()-i-1) = W_flat.block(V_uv.rows()*i,0,V_uv.rows(),1);
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}
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return true;
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}
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#ifdef IGL_STATIC_LIBRARY
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// Explicit template instantiation
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#endif
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