00001 /*!@file SIFT/VisualObjectMatchAlgo.H Header for visual object match algos */ 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/SIFT/VisualObjectMatchAlgo.H $ 00035 // $Id: VisualObjectMatchAlgo.H 5755 2005-10-19 20:57:27Z rjpeters $ 00036 // 00037 00038 #ifndef VISUALOBJECTMATCHALGO_H_DEFINED 00039 #define VISUALOBJECTMATCHALGO_H_DEFINED 00040 00041 #include <string> 00042 00043 //! A simple enum to decide which matching algo to use 00044 /*! This is used by the SIFT code to decide on which matching 00045 algorithm to use. VOMA_SIMPLE is exhausive but slow, VOMA_KDTREE is 00046 based on using a KD-Tree but is even slower, and VOMA_KDTREEBBF is 00047 fast but approximate. See SIFT/VisualObjectMatch.H for functions 00048 using these algos. If you add new algos here, be sure to update the 00049 number of algos and the string descriptions in the 00050 visualObjectMatchAlgoName() function below. */ 00051 enum VisualObjectMatchAlgo { 00052 VOMA_SIMPLE = 0, 00053 VOMA_KDTREE = 1, 00054 VOMA_KDTREEBBF = 2 00055 }; 00056 00057 //! Number of matching algos: 00058 #define NBVISUALOBJECTMATCHALGOS 3 00059 00060 //! Text descriptions of the various known algos: 00061 inline const char *visualObjectMatchAlgoName(const VisualObjectMatchAlgo val) 00062 { 00063 static const char *txt[] = { "Simple", "KDtree", "KDtreeBBF" }; 00064 return txt[int(val)]; 00065 } 00066 00067 //! Conversion to string 00068 std::string convertToString(const VisualObjectMatchAlgo val); 00069 00070 //! Conversion from string 00071 void convertFromString(const std::string& str, VisualObjectMatchAlgo& val); 00072 00073 #endif 00074 00075 // ###################################################################### 00076 /* So things look consistent in everyone's emacs... */ 00077 /* Local Variables: */ 00078 /* indent-tabs-mode: nil */ 00079 /* End: */
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