vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
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+/*
+ * shape_context.cpp -- Shape context demo for shape matching
+ */
+#include <iostream>
+#include "opencv2/opencv_modules.hpp"
+
+#ifdef HAVE_OPENCV_SHAPE
+
+#include "opencv2/shape.hpp"
+#include "opencv2/imgcodecs.hpp"
+#include "opencv2/highgui.hpp"
+#include "opencv2/imgproc.hpp"
+#include "opencv2/features.hpp"
+#include "opencv2/xfeatures2d.hpp"
+#include "opencv2/core/utility.hpp"
+#include <string>
+
+using namespace std;
+using namespace cv;
+using namespace cv::xfeatures2d;
+
+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();
+    if (argc < 3)
+    {
+      printf("Not enough parameters\n");
+      return -1;
+    }
+    Mat img1 = imread(argv[1], IMREAD_GRAYSCALE);
+    Mat img2 = imread(argv[2], IMREAD_GRAYSCALE);
+    if(img1.empty() || img2.empty())
+    {
+        printf("Can't read one of the images\n");
+        return -1;
+    }
+
+    // detecting keypoints & computing descriptors
+    Ptr<SURF> surf = SURF::create(5000);
+    vector<KeyPoint> keypoints1, keypoints2;
+    Mat descriptors1, descriptors2;
+    surf->detectAndCompute(img1, Mat(), keypoints1, descriptors1);
+    surf->detectAndCompute(img2, Mat(), keypoints2, descriptors2);
+
+    // matching descriptors
+    BFMatcher matcher(surf->defaultNorm());
+    vector<DMatch> 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<Point2f> pts1, pts2;
+    for (size_t ii=0; ii<keypoints1.size(); ii++)
+        pts1.push_back( keypoints1[ii].pt );
+    for (size_t ii=0; ii<keypoints2.size(); ii++)
+        pts2.push_back( keypoints2[ii].pt );
+
+    // Apply TPS
+    Ptr<ThinPlateSplineShapeTransformer> mytps = createThinPlateSplineShapeTransformer(25000); //TPS with a relaxed constraint
+    mytps->estimateTransformation(pts1, pts2, matches);
+    mytps->warpImage(img2, img2);
+
+    imshow("Tranformed", img2);
+    waitKey(0);
+
+    return 0;
+}
+
+#else
+
+int main()
+{
+    std::cerr << "OpenCV was built without shape module" << std::endl;
+    return 0;
+}
+
+#endif // HAVE_OPENCV_SHAPE