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OpenCV 3.2 FlannBasedMatcher
#include <iostream> #include <string> #include <boost/timer.hpp> #include "opencv2/core/core.hpp" #include "opencv2/features2d/features2d.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/flann/flann.hpp" using namespace std; using namespace cv; void readme(); string type2str(int type); int main( int argc, char** argv ) { if( argc != 3 ) { readme(); return -1; } 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 ) { cout<< " --(!) Error reading images " << endl; return -1; } //-- Step 1: Detect the keypoints using ORB Detector cv::Ptr<cv::ORB> orb = cv::ORB::create(200); std::vector<KeyPoint> keypoints_1, keypoints_2; orb->detect( img_1, keypoints_1 ); orb->detect( img_2, keypoints_2 ); //-- Step 2: Calculate descriptors (feature vectors) Mat descriptors_1, descriptors_2; // descriptor is a cv::Mat, with rows the same as nFeatures, and cols as 32 (8UC1) orb->compute( img_1, keypoints_1, descriptors_1 ); orb->compute( img_2, keypoints_2, descriptors_2 ); cout << type2str(descriptors_1.type()) << " " << descriptors_1.rows << "*" << descriptors_1.cols << endl;; //-- Step 3: Matching descriptor vectors using FLANN matcher FlannBasedMatcher matcher; std::vector<DMatch> matches; // the descriptor for FlannBasedMatcher should has matrix element of CV_32F if( descriptors_1.type()!=CV_32F ) { descriptors_1.convertTo( descriptors_1, CV_32F ); descriptors_2.convertTo( descriptors_2, CV_32F ); } matcher.match( descriptors_1, descriptors_2, matches ); double min_dist = min_element( matches.begin(), matches.end(), []( const DMatch& d1, const DMatch& d2 )->double { return d1.distance < d2.distance; } )->distance; cout << min_dist << endl; vector<DMatch> good_matches; for( int i = 0; i < descriptors_1.rows; i++ ) { if( matches[i].distance < max<double>( min_dist*2, 60.0 ) ) { good_matches.push_back( matches[i]); } } 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 < good_matches.size(); i++ ) { cout << good_matches[i].queryIdx << " --- " << good_matches[i].trainIdx << endl; } waitKey(0); return 0; } void readme() { cout << " Usage: ./ORB_test <img1> <img2>" << endl; } string type2str(int type) { string r; uchar depth = type & CV_MAT_DEPTH_MASK; uchar chans = 1 + (type >> CV_CN_SHIFT); switch ( depth ) { case CV_8U: r = "8U"; break; case CV_8S: r = "8S"; break; case CV_16U: r = "16U"; break; case CV_16S: r = "16S"; break; case CV_32S: r = "32S"; break; case CV_32F: r = "32F"; break; case CV_64F: r = "64F"; break; default: r = "User"; break; } r += "C"; r += (chans+‘0‘); return r; }
OpenCV 3.2 FlannBasedMatcher
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