00001 /*!@file Channels/SIFTChannel.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: 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Channels/SIFTChannel.C $ 00035 // $Id: SIFTChannel.C 7434 2006-11-11 02:15:19Z rjpeters $ 00036 // 00037 00038 #ifndef SIFTCHANNEL_C_DEFINED 00039 #define SIFTCHANNEL_C_DEFINED 00040 00041 #include "Channels/SIFTChannel.H" 00042 #include "SIFT/ScaleSpace.H" 00043 #include "SIFT/Keypoint.H" 00044 #include "Image/ColorOps.H" 00045 00046 // ###################################################################### 00047 // SIFTChannel member definitions: 00048 // ###################################################################### 00049 00050 SIFTChannel::SIFTChannel(OptionManager& mgr) : 00051 SingleChannel(mgr, "SIFT Channel", "SIFT keypoints", SIFT, 00052 rutz::shared_ptr< PyrBuilder<float> >(NULL)), 00053 itsMap() 00054 { 00055 itsTakeAbs.setVal(true); 00056 itsNormalizeOutput.setVal(true); 00057 } 00058 00059 // ###################################################################### 00060 SIFTChannel::~SIFTChannel() {} 00061 00062 // ###################################################################### 00063 bool SIFTChannel::outputAvailable() const 00064 { return itsMap.initialized(); } 00065 00066 // ###################################################################### 00067 void SIFTChannel::doInput(const InputFrame& inframe) 00068 { 00069 ASSERT(inframe.grayFloat().initialized()); 00070 Image<float> lum = inframe.grayFloat(); 00071 00072 const int nums = 3; // recommended by David Lowe 00073 const double sigma = 1.6F; // recommended by David Lowe 00074 //TODO: add interpolation (effects on pyramid?) 00075 float octscale = 1.0F; // since we did not doubled the image 00076 00077 //int numkp = 0; 00078 //for (int lev = 0; lev < depth; ++lev) //we dont want to process the 1x1 image 00079 { 00080 00081 Image<float> imgOutput; 00082 if (lum.getWidth() > 24 and lum.getHeight() > 24){ 00083 ImageSet<float> inImg(3); 00084 inImg[ScaleSpace::LUM_CHANNEL] = lum; 00085 std::vector< rutz::shared_ptr<Keypoint> > keypoints; // keypoints 00086 00087 ScaleSpace ss(inImg, octscale, nums, sigma, false); //no color 00088 int nkp = ss.findKeypoints(keypoints); 00089 LDEBUG("Found %d keypoints in ScaleSpace %d", nkp, 1); 00090 00091 // get ready for next ScaleSpace: 00092 // lum = decXY(ss.getTwoSigmaImage(ScaleSpace::LUM_CHANNEL)); 00093 00094 octscale *= 2.0F; 00095 00096 itsMap = ss.getKeypointImage(keypoints); 00097 } 00098 00099 // result[lev] = imgOutput; 00100 00101 } 00102 00103 00104 } 00105 00106 // ###################################################################### 00107 Image<float> SIFTChannel::getOutput() 00108 { return itsMap; } 00109 00110 00111 00112 00113 // ###################################################################### 00114 /* So things look consistent in everyone's emacs... */ 00115 /* Local Variables: */ 00116 /* indent-tabs-mode: nil */ 00117 /* End: */ 00118 00119 #endif // SIFTCHANNEL_C_DEFINED