94 lines
3.2 KiB
C++
94 lines
3.2 KiB
C++
/***********************************************************************
|
|
* 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_
|
|
|
|
#include "dist.h"
|
|
#include "matrix.h"
|
|
|
|
|
|
namespace cvflann
|
|
{
|
|
|
|
template <typename Distance>
|
|
void find_nearest(const Matrix<typename Distance::ElementType>& 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<int> match(n);
|
|
std::vector<DistanceType> 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 <typename Distance>
|
|
void compute_ground_truth(const Matrix<typename Distance::ElementType>& dataset, const Matrix<typename Distance::ElementType>& testset, Matrix<int>& matches,
|
|
int skip=0, Distance d = Distance())
|
|
{
|
|
for (size_t i=0; i<testset.rows; ++i) {
|
|
find_nearest<Distance>(dataset, testset[i], matches[i], (int)matches.cols, skip, d);
|
|
}
|
|
}
|
|
|
|
|
|
}
|
|
|
|
#endif //OPENCV_FLANN_GROUND_TRUTH_H_
|