73 lines
1.7 KiB
C++
73 lines
1.7 KiB
C++
/**
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* @file SURF_descriptor
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* @brief SURF detector + descritpor + BruteForce Matcher + drawing matches with OpenCV functions
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* @author A. Huaman
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*/
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#include <stdio.h>
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#include <iostream>
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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/features2d.hpp"
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using namespace cv;
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void readme();
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/**
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* @function main
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* @brief Main function
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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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{ return -1; }
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Mat img_1 = imread( argv[1], CV_LOAD_IMAGE_GRAYSCALE );
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Mat img_2 = imread( argv[2], CV_LOAD_IMAGE_GRAYSCALE );
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if( !img_1.data || !img_2.data )
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{ return -1; }
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//-- Step 1: Detect the keypoints using SURF Detector
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int minHessian = 400;
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SurfFeatureDetector detector( minHessian );
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std::vector<KeyPoint> keypoints_1, keypoints_2;
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detector.detect( img_1, keypoints_1 );
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detector.detect( img_2, keypoints_2 );
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//-- Step 2: Calculate descriptors (feature vectors)
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SurfDescriptorExtractor extractor;
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Mat descriptors_1, descriptors_2;
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extractor.compute( img_1, keypoints_1, descriptors_1 );
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extractor.compute( img_2, keypoints_2, descriptors_2 );
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//-- Step 3: Matching descriptor vectors with a brute force matcher
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BFMatcher matcher(NORM_L2);
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std::vector< DMatch > matches;
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matcher.match( descriptors_1, descriptors_2, matches );
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//-- Draw matches
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Mat img_matches;
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drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );
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//-- Show detected 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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/**
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* @function readme
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*/
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void readme()
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{ std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; }
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