60 lines
1.5 KiB
C++
60 lines
1.5 KiB
C++
#include <stdio.h>
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#include "opencv2/core/core.hpp"
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#include "opencv2/features2d/features2d.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/nonfree/nonfree.hpp"
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using namespace std;
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using namespace cv;
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static void help()
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{
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printf("\nThis program demonstrates using features2d detector, descriptor extractor and simple matcher\n"
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"Using the SURF desriptor:\n"
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"\n"
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"Usage:\n matcher_simple <image1> <image2>\n");
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}
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int main(int argc, char** argv)
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{
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if(argc != 3)
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{
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help();
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return -1;
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}
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Mat img1 = imread(argv[1], IMREAD_GRAYSCALE);
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Mat img2 = imread(argv[2], IMREAD_GRAYSCALE);
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if(img1.empty() || img2.empty())
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{
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printf("Can't read one of the images\n");
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return -1;
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}
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// detecting keypoints
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SurfFeatureDetector detector(400);
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vector<KeyPoint> keypoints1, keypoints2;
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detector.detect(img1, keypoints1);
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detector.detect(img2, keypoints2);
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// computing descriptors
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SurfDescriptorExtractor extractor;
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Mat descriptors1, descriptors2;
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extractor.compute(img1, keypoints1, descriptors1);
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extractor.compute(img2, keypoints2, descriptors2);
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// matching descriptors
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BFMatcher matcher(NORM_L2);
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vector<DMatch> matches;
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matcher.match(descriptors1, descriptors2, matches);
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// drawing the results
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namedWindow("matches", 1);
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Mat img_matches;
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drawMatches(img1, keypoints1, img2, keypoints2, matches, img_matches);
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imshow("matches", img_matches);
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waitKey(0);
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return 0;
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}
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