#include "opencv2/opencv_modules.hpp" #include <cstdio> #ifndef HAVE_OPENCV_NONFREE int main(int, char**) { printf("The sample requires nonfree module that is not available in your OpenCV distribution.\n"); return -1; } #else # include "opencv2/opencv_modules.hpp" # include "opencv2/calib3d/calib3d.hpp" # include "opencv2/features2d/features2d.hpp" # include "opencv2/highgui/highgui.hpp" # include "opencv2/imgproc/imgproc.hpp" # include "opencv2/nonfree/nonfree.hpp" using namespace cv; static void help() { printf("Use the SURF descriptor for matching keypoints between 2 images\n"); printf("Format: \n./generic_descriptor_match <image1> <image2> <algorithm> <XML params>\n"); printf("For example: ./generic_descriptor_match ../c/scene_l.bmp ../c/scene_r.bmp FERN fern_params.xml\n"); } Mat DrawCorrespondences(const Mat& img1, const vector<KeyPoint>& features1, const Mat& img2, const vector<KeyPoint>& features2, const vector<DMatch>& desc_idx); int main(int argc, char** argv) { if (argc != 5) { help(); return 0; } std::string img1_name = std::string(argv[1]); std::string img2_name = std::string(argv[2]); std::string alg_name = std::string(argv[3]); std::string params_filename = std::string(argv[4]); Ptr<GenericDescriptorMatcher> descriptorMatcher = GenericDescriptorMatcher::create(alg_name, params_filename); if( descriptorMatcher == 0 ) { printf ("Cannot create descriptor\n"); return 0; } //printf("Reading the images...\n"); Mat img1 = imread(img1_name, CV_LOAD_IMAGE_GRAYSCALE); Mat img2 = imread(img2_name, CV_LOAD_IMAGE_GRAYSCALE); // extract keypoints from the first image SURF surf_extractor(5.0e3); vector<KeyPoint> keypoints1; // printf("Extracting keypoints\n"); surf_extractor(img1, Mat(), keypoints1); printf("Extracted %d keypoints from the first image\n", (int)keypoints1.size()); vector<KeyPoint> keypoints2; surf_extractor(img2, Mat(), keypoints2); printf("Extracted %d keypoints from the second image\n", (int)keypoints2.size()); printf("Finding nearest neighbors... \n"); // find NN for each of keypoints2 in keypoints1 vector<DMatch> matches2to1; descriptorMatcher->match( img2, keypoints2, img1, keypoints1, matches2to1 ); printf("Done\n"); Mat img_corr = DrawCorrespondences(img1, keypoints1, img2, keypoints2, matches2to1); imshow("correspondences", img_corr); waitKey(0); } Mat DrawCorrespondences(const Mat& img1, const vector<KeyPoint>& features1, const Mat& img2, const vector<KeyPoint>& features2, const vector<DMatch>& desc_idx) { Mat part, img_corr(Size(img1.cols + img2.cols, MAX(img1.rows, img2.rows)), CV_8UC3); img_corr = Scalar::all(0); part = img_corr(Rect(0, 0, img1.cols, img1.rows)); cvtColor(img1, part, COLOR_GRAY2RGB); part = img_corr(Rect(img1.cols, 0, img2.cols, img2.rows)); cvtColor(img1, part, COLOR_GRAY2RGB); for (size_t i = 0; i < features1.size(); i++) { circle(img_corr, features1[i].pt, 3, Scalar(0, 0, 255)); } for (size_t i = 0; i < features2.size(); i++) { Point pt(cvRound(features2[i].pt.x + img1.cols), cvRound(features2[i].pt.y)); circle(img_corr, pt, 3, Scalar(0, 0, 255)); line(img_corr, features1[desc_idx[i].trainIdx].pt, pt, Scalar(0, 255, 0)); } return img_corr; } #endif