SingleChannelSurprise.H

Go to the documentation of this file.
00001 /*!@file Surprise/SingleChannelSurprise.H Channel for a single stream of processing. */
00002 
00003 // //////////////////////////////////////////////////////////////////// //
00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the //
00005 // 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: Laurent Itti <itti@usc.edu>
00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Surprise/SingleChannelSurprise.H $
00035 // $Id: SingleChannelSurprise.H 10107 2008-08-15 06:45:49Z mundhenk $
00036 //
00037 
00038 #ifndef SINGLECHANNELSURPRISE_H_DEFINED
00039 #define SINGLECHANNELSURPRISE_H_DEFINED
00040 
00041 #include "Channels/SubmapAlgorithm.H"
00042 #include "Component/ModelParam.H"
00043 #include "Image/LevelSpec.H"
00044 #include "Surprise/SurpriseMap.H"
00045 #include <vector>
00046 
00047 // ######################################################################
00048 //! SingleChannelSurprise is a Surprise extension to SingleChannel
00049 /*! This class only provides the computation of surprise. Typically
00050     you would first build a SingleChannel (or derivative), then build
00051     a SingleChannelSurprise, then pass the SingleChannelSurprise to
00052     the channel's setSubmapAlgorithm(). See VisualCortexSurprise for
00053     example usage. */
00054 template <class SMODEL>
00055 class SingleChannelSurprise : public SubmapAlgorithm
00056 {
00057 public:
00058   //! Constructor
00059   SingleChannelSurprise(OptionManager& mgr);
00060 
00061   //! destructor
00062   virtual ~SingleChannelSurprise();
00063 
00064   //! get a surprise map
00065   /*! Pass a submap index and a submap, and you'll get back the
00066     associated surprise */
00067   Image<float> getSurpriseMap(const uint index,
00068                               const Image<float>& submap);
00069 
00070   //! Compute the i'th submap for the given channel
00071   virtual Image<float> compute(const SingleChannel& chan, const uint i);
00072 
00073 protected:
00074   OModelParam<uint> itsSQlen;            //!< number of surprise maps
00075   OModelParam<double> itsUpdateFac;      //!< update factor
00076   OModelParam<double> itsNeighUpdateFac; //!< update factor for neighbors
00077   NModelParam<double> itsInitialVal;     //!< Initial values
00078   NModelParam<double> itsInitialVar;     //!< Initial variance
00079   NModelParam<double> itsBgVal;          //!< Background values
00080   OModelParam<float> itsNeighSigma;      //!< Neighborhood sigma
00081   OModelParam<float> itsLocSigma;        //!< Local neighborhood sigma
00082   OModelParam<bool> itsTakeSTMax;        //!< Use Max for space-time
00083   OModelParam<bool>  itsLogged;          //!< Do we dump data to a log file
00084   OModelParam<LevelSpec> itsLevelSpec;   //!< our levelspec
00085   OModelParam<Point2D<int> > itsProbe;   //!< location of a virtusl electrode
00086   OModelParam<double> itsSLfac;          //!< fact for local temporal surprise
00087   OModelParam<double> itsSSfac;          //!< factor for spatial surprise
00088   OModelParam<std::string> itsJointKLBiasTypeStr;
00089 
00090   // get us started (see ModelComponent.H)
00091   virtual void start1();
00092 
00093 private:
00094   SingleChannelSurprise(const SingleChannelSurprise&); // not allowed
00095   SingleChannelSurprise& operator=(const SingleChannelSurprise&); // not allow
00096   std::vector< SurpriseMap<SMODEL> > itsSmap;
00097 
00098   //! log entry number
00099   uint       itsLogEntry;
00100   SU_KL_BIAS itsJointKLBiasType;
00101 };
00102 
00103 #endif
00104 
00105 /* So things look consistent in everyone's emacs... */
00106 /* Local Variables: */
00107 /* indent-tabs-mode: nil */
00108 /* End: */
Generated on Sun May 8 08:42:20 2011 for iLab Neuromorphic Vision Toolkit by  doxygen 1.6.3