00001 /*!@file SceneUnderstanding/TensorVoting.H */ 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: Lior Elazary <elazary@usc.edu> 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/plugins/SceneUnderstanding/TensorVoting.H $ 00035 // $Id: TensorVoting.H 13765 2010-08-06 18:56:17Z lior $ 00036 // 00037 00038 #ifndef TensorVoting_H_DEFINED 00039 #define TensorVoting_H_DEFINED 00040 00041 //#include "Image/OpenCVUtil.H" // must be first to avoid conflicting defs of int64, uint64 00042 00043 #include "Image/Image.H" 00044 #include "Image/ImageSet.H" 00045 #include "Image/Pixels.H" 00046 #include "Image/Layout.H" 00047 #include "Simulation/SimEvents.H" 00048 #include "Simulation/SimModule.H" 00049 //#include "Image/OpenCVUtil.H" 00050 #include "Image/TensorOps.H" 00051 00052 #include <vector> 00053 #include <string> 00054 00055 //Some functions inspired from a matlab version of tensor voting by Trevor Linton 00056 // (http://www.mathworks.com/matlabcentral/fileexchange/21051-tensor-voting-framework) 00057 00058 class TensorVoting 00059 { 00060 public: 00061 00062 TensorVoting(); 00063 00064 //! Destructor 00065 ~TensorVoting(); 00066 00067 void evolve(); 00068 TensorField evolve(const Image<PixRGB<byte> >& img); 00069 TensorField evolve(const TensorField& tf, bool performNonMaxSurp=false); 00070 00071 TensorField getTensorField() { return itsTensorField; } 00072 Image<float> getTokensMag(bool normalize); 00073 00074 inline const Dims& getDims() const { return itsTensorField.t1.getDims(); } 00075 00076 protected: 00077 00078 TensorField transImage(Image<float>& img); 00079 TensorField findFeatures(TensorField& tensorField, float sigma); 00080 00081 TensorField createBallTensorField(float sigma); 00082 TensorField createStickTensorField(float u, float v, float sigma); 00083 void getBallVotes(Image<float>& im, 00084 TensorField& tensorField, float sigma); 00085 TensorField getStickVotes(const TensorField& tensorField, float sigma); 00086 TensorField getStickVotes2(const TensorField& tensorField, float sigma); 00087 00088 00089 TensorField calcSparseField(Image<float>& img); 00090 TensorField calcRefinedField(TensorField& tensorField, 00091 Image<float>& img, float sigma); 00092 00093 //Create the tensor fields first, so we can save time latter 00094 void createTensorFields(float sigma); 00095 00096 void generateImage(); 00097 00098 00099 00100 private: 00101 float itsSigma; 00102 Image<float> inputImg; 00103 std::vector<TensorField> itsStickFields; 00104 TensorField itsBallField; 00105 TensorField itsTensorField; 00106 00107 }; 00108 00109 // ###################################################################### 00110 /* So things look consistent in everyone's emacs... */ 00111 /* Local Variables: */ 00112 /* indent-tabs-mode: nil */ 00113 /* End: */ 00114 00115 #endif //