/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2013 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLMath/src/ICLMath/Homography2D.cpp ** ** Module : ICLMath ** ** Authors: Christof Elbrechter ** ** ** ** ** ** GNU LESSER GENERAL PUBLIC LICENSE ** ** This file may be used under the terms of the GNU Lesser General ** ** Public License version 3.0 as published by the ** ** ** ** Free Software Foundation and appearing in the file LICENSE.LGPL ** ** included in the packaging of this file. Please review the ** ** following information to ensure the license requirements will ** ** be met: http://www.gnu.org/licenses/lgpl-3.0.txt ** ** ** ** The development of this software was supported by the ** ** Excellence Cluster EXC 277 Cognitive Interaction Technology. ** ** The Excellence Cluster EXC 277 is a grant of the Deutsche ** ** Forschungsgemeinschaft (DFG) in the context of the German ** ** Excellence Initiative. ** ** ** ********************************************************************/ #include #include #include using namespace icl::utils; namespace icl{ namespace math{ template GenericHomography2D::GenericHomography2D(const Point32f *x, const Point32f *y, int n,typename GenericHomography2D::Algorithm alg){ if(alg == Simple){ DynMatrix X(n,3),Y(n,3); for(int i=0;i H = X*Y.pinv(true); // A * B.pinv() std::copy(H.begin(),H.end(),Super::begin()); }else{ // actually we use the homography backwards std::swap(x,y); DynMatrix M(8,2*n),r(1,2*n); for(int i=0;i h = M.solve(r,"svd"); std::copy(h.begin(),h.end(),Super::begin()); this->operator[](8) = 1; } } template struct ICLMath_API GenericHomography2D; template struct ICLMath_API GenericHomography2D; } // namespace math }