#include <stdio.h> #include <iostream> #include <opencv2/core/core.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/nonfree/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/nonfree/nonfree.hpp> using namespace cv; void readme(); /** @function main */ int main( int argc, char** argv ) { //if( argc != 3 ) //{ readme(); return -1; } Mat img_1 = imread( "/Users/powenko/Desktop/taipei_101_2.jpg", CV_LOAD_IMAGE_GRAYSCALE ); Mat img_2 = imread( "/Users/powenko/Desktop/taipei_101.jpg", CV_LOAD_IMAGE_GRAYSCALE ); if( !img_1.data || !img_2.data ) //如果數據為空 { std::cout<< " --(!) Error reading images " << std::endl; return -1; } //-- Step 1: Detect the keypoints using SURF Detector //第一步,用SIFT算子檢測關鍵點 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 ); //-- Draw keypoints //在圖像中畫出特徵點 Mat img_keypoints_1; Mat img_keypoints_2; drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT ); drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT ); //-- Show detected (drawn) keypoints imshow("Keypoints 1", img_keypoints_1 ); imshow("Keypoints 2", img_keypoints_2 ); //計算特徵 SiftDescriptorExtractor extractor;//定義對象 Mat descriptors_1,descriptors_2;//存放特徵向量的舉陣 extractor.compute(img_1,keypoints_1,descriptors_1);//計算特徵向量 extractor.compute(img_2,keypoints_2,descriptors_2); //-- Step 3: Matching descriptor vectors with a brute force matcher BFMatcher matcher(NORM_L2); std::vector< DMatch > matches; matcher.match( descriptors_1, descriptors_2, matches ); //-- Draw matches Mat img_matches; drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches ); //-- Show detected matches imshow("Matches", img_matches ); waitKey(0); return 0; } /** @function readme */ void readme() { std::cout << " Usage: ./SURF_detector <img1> <img2>" << std::endl; }