// flann測試.cpp : 定義控制台應用程式的入口點。
///****於opencv官網，略有修改
* @file surf_flannmatcher
* @brief surf detector + descriptor + flann matcher
* @author a. huaman
*/#include "stdafx.h"
#include "opencv2/opencv_modules.hpp"
#include # include "opencv2/core/core.hpp"
# include "opencv2/features2d/features2d.hpp"
# include "opencv2/highgui/highgui.hpp"
# include "opencv2/nonfree/features2d.hpp"
using namespace cv;
int main( int argc, char** argv )
//-- step 1: detect the keypoints using surf detector
int minhessian = 400;//黑塞矩陣
surffeaturedetector detector( minhessian );//特徵點檢測
std::vectorkeypoints_1, keypoints_2;
detector.detect( img_1, keypoints_1 );
detector.detect( img_2, keypoints_2 );
//-- step 2: calculate descriptors (feature vectors)//描述符號，特徵向量
surfdescriptorextractor extractor;
mat descriptors_1, descriptors_2;
extractor.compute( img_1, keypoints_1, descriptors_1 );//計算影象中的特徵點，得到描述符號（descriptor）
extractor.compute( img_2, keypoints_2, descriptors_2 );
//-- step 3: matching descriptor vectors using flann matcher
flannbasedmatcher matcher;
std::vector< dmatch > matches;// dmatch是封裝好的兩個匹配點（匹配對）的一組多個特徵的類，這個matches是用來存放匹配對特徵的向量
matcher.match( descriptors_1, descriptors_2, matches );// 有興趣可以自己看看這個match的實現
double max_dist = 0; double min_dist = 100;
//-- quick calculation of max and min distances between keypoints
for( int i = 0; i < descriptors_1.rows; i++ )
printf("-- max dist : %f \n", max_dist );
printf("-- min dist : %f \n", min_dist );
//-- draw only "good" matches (i.e. whose distance is less than 2*min_dist,
//-- or a small arbitary value ( 0.02 ) in the event that min_dist is very
//-- small)
//-- ps.- radiusmatch can also be used here.
std::vector< dmatch > good_matches;
for( int i = 0; i < descriptors_1.rows; i++ )
}//-- draw only "good" matches
mat img_matches;
drawmatches( img_1, keypoints_1, img_2, keypoints_2,
good_matches, img_matches, scalar::all(-1), scalar::all(-1),
vector(), drawmatchesflags::not_draw_single_points );
//-- show detected matches
imshow( "good matches", img_matches );
for( int i = 0; i < (int)good_matches.size(); i++ )
waitkey(0);
return 0;
}
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