{"id":9213,"date":"2016-12-02T07:38:29","date_gmt":"2016-12-02T12:38:29","guid":{"rendered":"httpss:\/\/www.powenko.com\/wordpress\/?p=9213"},"modified":"2016-12-02T07:38:29","modified_gmt":"2016-12-02T12:38:29","slug":"04-flan-%e7%89%b9%e5%be%b5%e9%bb%9e%e3%80%80flannbasedmatcher","status":"publish","type":"post","link":"https:\/\/www.powenko.com\/wordpress\/?p=9213","title":{"rendered":"04 FLAN \u7279\u5fb5\u9ede\u3000FlannBasedMatcher"},"content":{"rendered":"
\r\n#include <stdio.h>\r\n#include <iostream>\r\n#include <opencv2\/core\/core.hpp>\r\n#include <opencv2\/features2d\/features2d.hpp>\r\n#include <opencv2\/nonfree\/features2d.hpp>\r\n#include <opencv2\/highgui\/highgui.hpp>\r\n#include <opencv2\/nonfree\/nonfree.hpp>\r\n\r\nusing namespace cv;\r\n\r\nvoid readme();\r\n\r\n\/** @function main *\/\r\nint main( int argc, char** argv )\r\n{\r\n    \/\/if( argc != 3 )\r\n    \/\/{ readme(); return -1; }\r\n    \r\n    Mat img_1 = imread( "\/Users\/powenko\/Desktop\/doughnut.png", CV_LOAD_IMAGE_GRAYSCALE );\r\n    Mat img_2 = imread( "\/Users\/powenko\/Desktop\/doughnuts.png", CV_LOAD_IMAGE_GRAYSCALE );\r\n    \r\n    if( !img_1.data || !img_2.data )                                                    \/\/\u5982\u679c\u6578\u64da\u70ba\u7a7a\r\n    { std::cout<< " --(!) Error reading images " << std::endl; return -1; }\r\n    \r\n    \r\n    \r\n    \/\/-- Step 1: Detect the keypoints using SURF Detector \u00a0\u00a0\u00a0\u00a0\/\/\u7b2c\u4e00\u6b65\uff0c\u7528SIFT\u7b97\u5b50\u6aa2\u6e2c\u95dc\u9375\u9ede\r\n    int minHessian = 400;\r\n    \r\n    SurfFeatureDetector detector( minHessian );\r\n    std::vector<KeyPoint> keypoints_1, keypoints_2;\r\n    \r\n    detector.detect( img_1, keypoints_1 );\r\n    detector.detect( img_2, keypoints_2 );\r\n    \r\n    \/\/-- Draw keypoints \u00a0\/\/\u5728\u5716\u50cf\u4e2d\u756b\u51fa\u7279\u5fb5\u9ede\r\n    Mat img_keypoints_1; Mat img_keypoints_2;\r\n    \r\n    drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );\r\n    drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );\r\n    \r\n    \/\/-- Show detected (drawn) keypoints\r\n    imshow("Keypoints 1", img_keypoints_1 );\r\n    imshow("Keypoints 2", img_keypoints_2 );\r\n    \r\n    \/\/\u8a08\u7b97\u7279\u5fb5\r\n    SurfDescriptorExtractor extractor;\/\/\u5b9a\u7fa9\u5c0d\u8c61\r\n    \r\n    Mat descriptors_1,descriptors_2;\/\/\u5b58\u653e\u7279\u5fb5\u5411\u91cf\u7684\u8209\u9663\r\n    \r\n    extractor.compute(img_1,keypoints_1,descriptors_1);\/\/\u8a08\u7b97\u7279\u5fb5\u5411\u91cf\r\n    extractor.compute(img_2,keypoints_2,descriptors_2);\r\n    \r\n    \r\n    \/\/-- Step 3: Matching descriptor vectors with a brute force matcher\r\n    BFMatcher matcher(NORM_L2);\r\n    std::vector< DMatch > matches;\r\n    matcher.match( descriptors_1, descriptors_2, matches );\r\n    \r\n    \/\/-- Draw matches\r\n    Mat img_matches;\r\n    drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );\r\n    \r\n    \/\/-- Show detected matches\r\n    imshow("Matches", img_matches );\r\n    \r\n    \/\/-- Step 3: Matching descriptor vectors using FLANN matcher\r\n    cv::FlannBasedMatcher matcher2;\r\n    std::vector< DMatch > matches2;\r\n    matcher2.match( descriptors_1, descriptors_2, matches2 );\r\n    \r\n    double max_dist = 0; double min_dist = 100;\r\n    \r\n    \/\/-- Quick calculation of max and min distances between keypoints\r\n    for( int i = 0; i < descriptors_1.rows; i++ )\r\n    { double dist = matches[i].distance;\r\n        if( dist < min_dist ) min_dist = dist;\r\n        if( dist > max_dist ) max_dist = dist;\r\n    }\r\n    \r\n    printf("-- Max dist : %f \\n", max_dist );\r\n    printf("-- Min dist : %f \\n", min_dist );\r\n    \r\n    \/\/-- Draw only "good" matches (i.e. whose distance is less than 2*min_dist )\r\n    \/\/-- PS.- radiusMatch can also be used here.\r\n    std::vector< DMatch > good_matches;\r\n    \r\n    for( int i = 0; i < descriptors_1.rows; i++ )\r\n    { if( matches[i].distance < 2*min_dist )\r\n    { good_matches.push_back( matches[i]); }\r\n    }\r\n    \r\n    \/\/-- Draw only "good" matches\r\n    Mat img_matches2;\r\n    drawMatches( img_1, keypoints_1, img_2, keypoints_2,\r\n                good_matches, img_matches2, Scalar::all(-1), Scalar::all(-1),\r\n                vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );\r\n    \r\n    \/\/-- Show detected matches  \r\n    imshow( "Good Matches", img_matches2 );\r\n    \r\n    \r\n    waitKey(0);\r\n    \r\n    return 0;\r\n}\r\n\r\n\/** @function readme *\/\r\nvoid readme()\r\n{ std::cout << " Usage: .\/SURF_detector <img1> <img2>" << std::endl; }\r\n\r\n<\/pre>\n
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