00001 /*!@file Image/AffineTransform.C */ 00002 00003 // //////////////////////////////////////////////////////////////////// // 00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005 // 00005 // by the University of Southern California (USC) and the iLab at USC. // 00006 // See http://iLab.usc.edu for information about this project. // 00007 // //////////////////////////////////////////////////////////////////// // 00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected // 00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency // 00010 // in Visual Environments, and Applications'' by Christof Koch and // 00011 // Laurent Itti, California Institute of Technology, 2001 (patent // 00012 // pending; application number 09/912,225 filed July 23, 2001; see // 00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). // 00014 // //////////////////////////////////////////////////////////////////// // 00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. // 00016 // // 00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can // 00018 // redistribute it and/or modify it under the terms of the GNU General // 00019 // Public License as published by the Free Software Foundation; either // 00020 // version 2 of the License, or (at your option) any later version. // 00021 // // 00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope // 00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the // 00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR // 00025 // PURPOSE. See the GNU General Public License for more details. // 00026 // // 00027 // You should have received a copy of the GNU General Public License // 00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write // 00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, // 00030 // Boston, MA 02111-1307 USA. // 00031 // //////////////////////////////////////////////////////////////////// // 00032 // 00033 // Primary maintainer for this file:Farhan Baluch 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Image/AffineTransform.C $ 00035 // $Id: AffineTransform.C 10794 2009-02-08 06:21:09Z itti $ 00036 // 00037 00038 00039 #ifndef IMAGE_AFFINETRANSFORM_C_DEFINED 00040 #define IMAGE_AFFINETRANSFORM_C_DEFINED 00041 00042 #include "Image/AffineTransform.H" 00043 #include "Image/MatrixOps.H" 00044 #include "Image/LinearAlgebra.H" 00045 #include <fstream> 00046 #include <iostream> 00047 #include "Image/IO.H" 00048 00049 AffineTransform::AffineTransform() {} 00050 // AffineTransform::~AffineTransform() {} 00051 00052 Image<double> AffineTransform::computeTransform(const CalibrationTransform::Data& d) 00053 { 00054 //loop through calib pts work out the transform M = pInv(e) x S 00055 //set itsTransform= new transform image 00056 00057 const std::vector<CalPt>& itsCals = d.getItsCalPts(); 00058 int numCalPts = (int)itsCals.size(); 00059 Image<double> scr(3,numCalPts,ZEROS); 00060 Image<double> eye(3,numCalPts,ZEROS); 00061 Image<double> eyeInv; 00062 Image<double> M(3,3,ZEROS); 00063 00064 Image<double>::iterator scrAptr = scr.beginw(); 00065 Image<double>::iterator eyeAptr = eye.beginw(); 00066 00067 for(int i=0; i < numCalPts; i++) 00068 { 00069 *scrAptr++ = itsCals[i].scr_x; 00070 *scrAptr++ = itsCals[i].scr_y; 00071 *scrAptr++ = 1; 00072 00073 *eyeAptr++ = itsCals[i].raw_x; 00074 *eyeAptr++ = itsCals[i].raw_y; 00075 *eyeAptr++ = 1; 00076 } 00077 00078 int rank =0; 00079 eyeInv = svdPseudoInv(eye,SVD_LAPACK,&rank,0.0F); 00080 00081 M = matrixMult(eyeInv,scr); 00082 itsTransform = M; 00083 00084 return itsTransform; 00085 00086 } 00087 00088 00089 00090 Point2D<double> AffineTransform::getCalibrated(const Point2D<double>& raw) 00091 { 00092 Image<double> rawIm(3,1,ZEROS); 00093 Image<double> resultIm(3,1,ZEROS); 00094 Point2D<double> calibPt; 00095 00096 Image<double>::iterator Aptr = rawIm.beginw(); 00097 00098 *Aptr++ = raw.i; //x_raw 00099 *Aptr++ = raw.j; //y_raw 00100 *Aptr++ = 1; 00101 00102 resultIm = matrixMult(rawIm,itsTransform); 00103 00104 Aptr = resultIm.beginw(); 00105 00106 calibPt.i = *Aptr++; 00107 calibPt.j = *Aptr; 00108 00109 return calibPt; 00110 } 00111 00112 00113 Image<double> AffineTransform::getTransform() 00114 { 00115 return itsTransform; 00116 } 00117 00118 // ###################################################################### 00119 /* So things look consistent in everyone's emacs... */ 00120 /* Local Variables: */ 00121 /* indent-tabs-mode: nil */ 00122 /* End: */ 00123 00124 #endif // IMAGE_AFFINETRANSFORM_C_DEFINED 00125