Maria Dimashova
15 years ago
parent
9d9453906b
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26dbbcc070
5 changed files with 176 additions and 15 deletions
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp" |
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using namespace std; |
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namespace cv |
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{ |
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BOWKMeansTrainer::BOWKMeansTrainer( int _clusterCount, const TermCriteria& _termcrit, |
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int _attempts, int _flags ) : |
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clusterCount(_clusterCount), termcrit(_termcrit), attempts(_attempts), flags(_flags) |
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{} |
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void BOWKMeansTrainer::cluster( const Mat& descriptors, Mat& vocabulary ) |
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{ |
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Mat labels; |
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kmeans( descriptors, clusterCount, labels, termcrit, attempts, flags, &vocabulary ); |
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} |
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BOWImgDescriptorExtractor::BOWImgDescriptorExtractor( const Ptr<DescriptorExtractor>& _dextractor, |
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const Ptr<DescriptorMatcher>& _dmatcher ) : |
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dextractor(_dextractor), dmatcher(_dmatcher) |
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{} |
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void BOWImgDescriptorExtractor::set( const Mat& _vocabulary ) |
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{ |
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dmatcher->clear(); |
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vocabulary = _vocabulary; |
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dmatcher->add( vocabulary ); |
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} |
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void BOWImgDescriptorExtractor::compute( const Mat& image, vector<KeyPoint>& keypoints, Mat& imgDescriptor, |
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vector<vector<int> >& pointIdxsInClusters ) |
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{ |
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int clusterCount = descriptorSize(); // = vocabulary.rows
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// Compute descriptors for the image.
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Mat descriptors; |
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dextractor->compute( image, keypoints, descriptors ); |
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// Match keypoint descriptors to cluster center (to vocabulary)
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vector<DMatch> matches; |
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dmatcher->match( descriptors, matches ); |
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// Compute image descriptor
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pointIdxsInClusters = vector<vector<int> >(clusterCount); |
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imgDescriptor = Mat( 1, clusterCount, descriptorType(), Scalar::all(0.0) ); |
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float *dptr = (float*)imgDescriptor.data; |
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for( size_t i = 0; i < matches.size(); i++ ) |
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{ |
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int queryIdx = matches[i].indexQuery; |
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int trainIdx = matches[i].indexTrain; // cluster index
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CV_Assert( queryIdx == (int)i ); |
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dptr[trainIdx] = dptr[trainIdx] + 1.f; |
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pointIdxsInClusters[trainIdx].push_back( queryIdx ); |
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} |
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// Normalize image descriptor.
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imgDescriptor /= descriptors.rows; |
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} |
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} |
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