/* * shape_context.cpp -- Shape context demo for shape matching */ #include "opencv2/shape.hpp" #include "opencv2/highgui.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/features2d/features2d.hpp" #include "opencv2/nonfree/nonfree.hpp" #include #include #include using namespace std; using namespace cv; static void help() { printf("\nThis program demonstrates how to use common interface for shape transformers\n" "Call\n" "shape_transformation [image1] [image2]\n"); } int main(int argc, char** argv) { help(); Mat img1 = imread(argv[1], IMREAD_GRAYSCALE); Mat img2 = imread(argv[2], IMREAD_GRAYSCALE); if(img1.empty() || img2.empty() || argc<2) { printf("Can't read one of the images\n"); return -1; } // detecting keypoints SurfFeatureDetector detector(5000); vector keypoints1, keypoints2; detector.detect(img1, keypoints1); detector.detect(img2, keypoints2); // computing descriptors SurfDescriptorExtractor extractor; Mat descriptors1, descriptors2; extractor.compute(img1, keypoints1, descriptors1); extractor.compute(img2, keypoints2, descriptors2); // matching descriptors BFMatcher matcher(NORM_L2); vector matches; matcher.match(descriptors1, descriptors2, matches); // drawing the results namedWindow("matches", 1); Mat img_matches; drawMatches(img1, keypoints1, img2, keypoints2, matches, img_matches); imshow("matches", img_matches); // extract points vector pts1, pts2; for (size_t ii=0; ii mytps = createThinPlateSplineShapeTransformer(25000); //TPS with a relaxed constraint mytps->estimateTransformation(pts1, pts2, matches); mytps->warpImage(img2, img2); imshow("Tranformed", img2); waitKey(0); return 0; }