/**************************************************************************** * VCGLib o o * * Visual and Computer Graphics Library o o * * _ O _ * * Copyright(C) 2004 \/)\/ * * Visual Computing Lab /\/| * * ISTI - Italian National Research Council | * * \ * * All rights reserved. * * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * * This program is distributed in the hope that it will be useful, * * but WITHOUT ANY WARRANTY; without even the implied warranty of * * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * * GNU General Public License (http://www.gnu.org/licenses/gpl.txt) * * for more details. * * * ****************************************************************************/ #ifndef POLAR_DECOMPOSITION_VCG #define POLAR_DECOMPOSITION_VCG #include #include #include #include namespace vcg{ /** \addtogroup math */ /* @{ */ /// Extract the rotational part of a matrix by polar decomposition /// m = R*S. Polar decomposition is computed by taking r = m * sqrt(m^t*m)^{-1} template void RotationalPartByPolarDecomposition( const vcg::Matrix33 & m, vcg::Matrix33 &r ){ Eigen::Matrix tmp,s; r.setZero(); s.setZero(); tmp = m*m.transpose(); Eigen::Matrix res; Eigen::Matrix e; bool ss = SingularValueDecomposition >(tmp,&e[0],res); Eigen::JacobiSVD svd(A); sol=svd.solve(b); e[0]=math::Sqrt(e[0]); e[1]=math::Sqrt(e[1]); e[2]=math::Sqrt(e[2]); tmp = tmp*e.asDiagonal()*res.transpose(); bool s1 = SingularValueDecomposition >(tmp,&e[0],res.transpose()); e[0]=1/e[0]; e[1]=1/e[1]; e[2]=1/e[2]; tmp = res*e.asDiagonal()*tmp.transpose(); r = m*tmp; } /*! @} */ }; #endif