1 /* 2 By downloading, copying, installing or using the software you agree to this license. 3 If you do not agree to this license, do not download, install, 4 copy or use the software. 5 6 7 License Agreement 8 For Open Source Computer Vision Library 9 (3-clause BSD License) 10 11 Copyright (C) 2000-2016, Intel Corporation, all rights reserved. 12 Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved. 13 Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved. 14 Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved. 15 Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved. 16 Copyright (C) 2015-2016, Itseez Inc., all rights reserved. 17 Third party copyrights are property of their respective owners. 18 19 Redistribution and use in source and binary forms, with or without modification, 20 are permitted provided that the following conditions are met: 21 22 * Redistributions of source code must retain the above copyright notice, 23 this list of conditions and the following disclaimer. 24 25 * Redistributions in binary form must reproduce the above copyright notice, 26 this list of conditions and the following disclaimer in the documentation 27 and/or other materials provided with the distribution. 28 29 * Neither the names of the copyright holders nor the names of the contributors 30 may be used to endorse or promote products derived from this software 31 without specific prior written permission. 32 33 This software is provided by the copyright holders and contributors "as is" and 34 any express or implied warranties, including, but not limited to, the implied 35 warranties of merchantability and fitness for a particular purpose are disclaimed. 36 In no event shall copyright holders or contributors be liable for any direct, 37 indirect, incidental, special, exemplary, or consequential damages 38 (including, but not limited to, procurement of substitute goods or services; 39 loss of use, data, or profits; or business interruption) however caused 40 and on any theory of liability, whether in contract, strict liability, 41 or tort (including negligence or otherwise) arising in any way out of 42 the use of this software, even if advised of the possibility of such damage. 43 */ 44 45 /* 46 Contributed by Gregor Kovalcik <gregor dot kovalcik at gmail dot com> 47 based on code provided by Martin Krulis, Jakub Lokoc and Tomas Skopal. 48 49 References: 50 Martin Krulis, Jakub Lokoc, Tomas Skopal. 51 Efficient Extraction of Clustering-Based Feature Signatures Using GPU Architectures. 52 Multimedia tools and applications, 75(13), pp.: 8071�8103, Springer, ISSN: 1380-7501, 2016 53 54 Christian Beecks, Merih Seran Uysal, Thomas Seidl. 55 Signature quadratic form distance. 56 In Proceedings of the ACM International Conference on Image and Video Retrieval, pages 438-445. 57 ACM, 2010. 58 */ 59 #include "precomp.hpp" 60 61 #include "pct_signatures/constants.hpp" 62 #include "pct_signatures/similarity.hpp" 63 64 namespace cv 65 { 66 namespace xfeatures2d 67 { 68 namespace pct_signatures 69 { 70 class PCTSignaturesSQFD_Impl : public PCTSignaturesSQFD 71 { 72 public: PCTSignaturesSQFD_Impl(const int distanceFunction,const int similarityFunction,const float similarityParameter)73 PCTSignaturesSQFD_Impl( 74 const int distanceFunction, 75 const int similarityFunction, 76 const float similarityParameter) 77 : mDistanceFunction(distanceFunction), 78 mSimilarityFunction(similarityFunction), 79 mSimilarityParameter(similarityParameter) 80 { 81 82 } 83 84 85 float computeQuadraticFormDistance( 86 InputArray _signature0, 87 InputArray _signature1) const CV_OVERRIDE; 88 89 void computeQuadraticFormDistances( 90 const Mat& sourceSignature, 91 const std::vector<Mat>& imageSignatures, 92 std::vector<float>& distances) const CV_OVERRIDE; 93 94 95 private: 96 int mDistanceFunction; 97 int mSimilarityFunction; 98 float mSimilarityParameter; 99 100 float computePartialSQFD( 101 const Mat& signature0, 102 const Mat& signature1) const; 103 104 }; 105 106 107 /** 108 * @brief Class implementing parallel computing of SQFD distance for multiple images. 109 */ 110 class Parallel_computeSQFDs : public ParallelLoopBody 111 { 112 private: 113 const PCTSignaturesSQFD* mPctSignaturesSQFDAlgorithm; 114 const Mat* mSourceSignature; 115 const std::vector<Mat>* mImageSignatures; 116 std::vector<float>* mDistances; 117 118 public: Parallel_computeSQFDs(const PCTSignaturesSQFD * pctSignaturesSQFDAlgorithm,const Mat * sourceSignature,const std::vector<Mat> * imageSignatures,std::vector<float> * distances)119 Parallel_computeSQFDs( 120 const PCTSignaturesSQFD* pctSignaturesSQFDAlgorithm, 121 const Mat* sourceSignature, 122 const std::vector<Mat>* imageSignatures, 123 std::vector<float>* distances) 124 : mPctSignaturesSQFDAlgorithm(pctSignaturesSQFDAlgorithm), 125 mSourceSignature(sourceSignature), 126 mImageSignatures(imageSignatures), 127 mDistances(distances) 128 { 129 mDistances->resize(imageSignatures->size()); 130 } 131 operator ()(const Range & range) const132 void operator()(const Range& range) const CV_OVERRIDE 133 { 134 if (mSourceSignature->empty()) 135 { 136 CV_Error(Error::StsBadArg, "Source signature is empty!"); 137 } 138 139 for (int i = range.start; i < range.end; i++) 140 { 141 if (mImageSignatures[i].empty()) 142 { 143 CV_Error_(Error::StsBadArg, ("Signature ID: %d is empty!", i)); 144 } 145 146 (*mDistances)[i] = mPctSignaturesSQFDAlgorithm->computeQuadraticFormDistance( 147 *mSourceSignature, (*mImageSignatures)[i]); 148 } 149 } 150 }; 151 152 computeQuadraticFormDistance(InputArray _signature0,InputArray _signature1) const153 float PCTSignaturesSQFD_Impl::computeQuadraticFormDistance( 154 InputArray _signature0, 155 InputArray _signature1) const 156 { 157 // check input 158 if (_signature0.empty() || _signature1.empty()) 159 { 160 CV_Error(Error::StsBadArg, "Empty signature!"); 161 } 162 163 Mat signature0 = _signature0.getMat(); 164 Mat signature1 = _signature1.getMat(); 165 166 if (signature0.cols != SIGNATURE_DIMENSION || signature1.cols != SIGNATURE_DIMENSION) 167 { 168 CV_Error_(Error::StsBadArg, ("Signature dimension must be %d!", SIGNATURE_DIMENSION)); 169 } 170 171 if (signature0.rows <= 0 || signature1.rows <= 0) 172 { 173 CV_Error(Error::StsBadArg, "Signature count must be greater than 0!"); 174 } 175 176 // compute sqfd 177 float result = 0; 178 result += computePartialSQFD(signature0, signature0); 179 result += computePartialSQFD(signature1, signature1); 180 result -= computePartialSQFD(signature0, signature1) * 2; 181 182 return sqrt(result); 183 } 184 computeQuadraticFormDistances(const Mat & sourceSignature,const std::vector<Mat> & imageSignatures,std::vector<float> & distances) const185 void PCTSignaturesSQFD_Impl::computeQuadraticFormDistances( 186 const Mat& sourceSignature, 187 const std::vector<Mat>& imageSignatures, 188 std::vector<float>& distances) const 189 { 190 parallel_for_(Range(0, (int)imageSignatures.size()), 191 Parallel_computeSQFDs(this, &sourceSignature, &imageSignatures, &distances)); 192 } 193 computePartialSQFD(const Mat & signature0,const Mat & signature1) const194 float PCTSignaturesSQFD_Impl::computePartialSQFD( 195 const Mat& signature0, 196 const Mat& signature1) const 197 { 198 float result = 0; 199 for (int i = 0; i < signature0.rows; i++) 200 { 201 for (int j = 0; j < signature1.rows; j++) 202 { 203 result += signature0.at<float>(i, WEIGHT_IDX) * signature1.at<float>(j, WEIGHT_IDX) 204 * computeSimilarity(mDistanceFunction, mSimilarityFunction, mSimilarityParameter, signature0, i, signature1, j); 205 } 206 } 207 return result; 208 } 209 210 211 212 }// end of namespace pct_signatures 213 214 create(const int distanceFunction,const int similarityFunction,const float similarityParameter)215 Ptr<PCTSignaturesSQFD> PCTSignaturesSQFD::create( 216 const int distanceFunction, 217 const int similarityFunction, 218 const float similarityParameter) 219 { 220 return makePtr<pct_signatures::PCTSignaturesSQFD_Impl>(distanceFunction, similarityFunction, similarityParameter); 221 } 222 223 } 224 } 225