/*********************************************************************** * Software License Agreement (BSD License) * * Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved. * Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved. * * THE BSD LICENSE * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. *************************************************************************/ #ifndef OPENCV_FLANN_GROUND_TRUTH_H_ #define OPENCV_FLANN_GROUND_TRUTH_H_ //! @cond IGNORED #include "dist.h" #include "matrix.h" namespace cvflann { template void find_nearest(const Matrix& dataset, typename Distance::ElementType* query, int* matches, int nn, int skip = 0, Distance distance = Distance()) { typedef typename Distance::ResultType DistanceType; int n = nn + skip; std::vector match(n); std::vector dists(n); dists[0] = distance(dataset[0], query, dataset.cols); match[0] = 0; int dcnt = 1; for (size_t i = 1; i < dataset.rows; ++i) { DistanceType tmp = distance(dataset[i], query, dataset.cols); if (dcnt < n) { match[dcnt] = (int)i; dists[dcnt++] = tmp; } else if (tmp < dists[dcnt - 1]) { dists[dcnt - 1] = tmp; match[dcnt - 1] = (int)i; } int j = dcnt - 1; // bubble up while (j >= 1 && dists[j] < dists[j - 1]) { std::swap(dists[j], dists[j - 1]); std::swap(match[j], match[j - 1]); j--; } } for (int i = 0; i < nn; ++i) { matches[i] = match[i + skip]; } } template void compute_ground_truth(const Matrix& dataset, const Matrix& testset, Matrix& matches, int skip = 0, Distance d = Distance()) { for (size_t i = 0; i < testset.rows; ++i) { find_nearest(dataset, testset[i], matches[i], (int)matches.cols, skip, d); } } } //! @endcond #endif //OPENCV_FLANN_GROUND_TRUTH_H_