i am directly running the code given on opencv documentation. my version of opencv is opencv 2.4.9
#include <stdio.h>
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
//#include "opencv2/nonfree/features2d.hpp"
#include "opencv2/legacy/legacy.hpp"
using namespace cv;
int main( int argc, char** argv )
{
Mat img_1 = imread( argv[1], CV_LOAD_IMAGE_GRAYSCALE );
Mat img_2 = imread( argv[2], CV_LOAD_IMAGE_GRAYSCALE );
if( !img_1.data || !img_2.data )
{ std::cout<< " --(!) Error reading images " << std::endl; return -1; }
//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 400;
SurfFeatureDetector detector( minHessian );
std::vector<KeyPoint> keypoints_1, keypoints_2;
detector.detect( img_1, keypoints_1 );
detector.detect( img_2, keypoints_2 );
//-- Step 2: Calculate descriptors (feature vectors)
SurfDescriptorExtractor extractor;
Mat descriptors_1, descriptors_2;
extractor.compute( img_1, keypoints_1, descriptors_1 );
extractor.compute( img_2, keypoints_2, descriptors_2 );
//-- Step 3: Matching descriptor vectors using FLANN matcher
FlannBasedMatcher matcher;
std::vector< DMatch > matches;
matcher.match( descriptors_1, descriptors_2, matches );
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++ )
{ double dist = matches[i].distance;
if( dist < min_dist ) min_dist = dist;
if( dist > max_dist ) max_dist = dist;
}
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++ )
{ if( matches[i].distance <= max(2*min_dist, 0.02) )
{ good_matches.push_back( matches[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<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
//-- Show detected matches
imshow( "Good Matches", img_matches );
for( int i = 0; i < (int)good_matches.size(); i++ )
{ printf( "-- Good Match [%d] Keypoint 1: %d -- Keypoint 2: %d \n", i, good_matches[i].queryIdx, good_matches[i].trainIdx ); }
waitKey(0);
return 0;
}
i am getting this error message
/home/sumit/feature_detection/flann/flann.cpp: In function ‘int main(int, char**)’:
/home/sumit/feature_detection/flann/flann.cpp:33:3: error: ‘SurfFeatureDetector’ was not declared in this scope
SurfFeatureDetector detector( minHessian );
^
/home/sumit/feature_detection/flann/flann.cpp:33:23: error: expected ‘;’ before ‘detector’
SurfFeatureDetector detector( minHessian );
^
/home/sumit/feature_detection/flann/flann.cpp:37:3: error: ‘detector’ was not declared in this scope
detector.detect( img_1, keypoints_1 );
^
/home/sumit/feature_detection/flann/flann.cpp:41:3: error: ‘SurfDescriptorExtractor’ was not declared in this scope
SurfDescriptorExtractor extractor;
^
/home/sumit/feature_detection/flann/flann.cpp:41:27: error: expected ‘;’ before ‘extractor’
SurfDescriptorExtractor extractor;
^
/home/sumit/feature_detection/flann/flann.cpp:45:3: error: ‘extractor’ was not declared in this scope
extractor.compute( img_1, keypoints_1, descriptors_1 );
^
make[2]: *** [CMakeFiles/a.dir/flann.cpp.o] Error 1
make[1]: *** [CMakeFiles/a.dir/all] Error 2
make: *** [all] Error 2
also in my "/usr/include/opencv2" directory there isn't any "nonfree" directory!!
please help me out