You cannot select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
	
	
		
			99 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			C++
		
	
			
		
		
	
	
			99 lines
		
	
	
		
			3.3 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_
 | 
						|
 | 
						|
//! @cond IGNORED
 | 
						|
 | 
						|
#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);
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
 | 
						|
}
 | 
						|
 | 
						|
//! @endcond
 | 
						|
 | 
						|
#endif //OPENCV_FLANN_GROUND_TRUTH_H_
 |