如何在C++中匹配两个不同的图像

我正试图重建解剖结构的3D模型。所以我想匹配一对X射线图像中的关键点。我通过使用下面的代码尝试了它。但它没有给出正确的结果。如何在C++中匹配两个不同的图像

Mat tmp = cv::imread("1.jpg", 1); 
Mat in = cv::imread("2.jpg", 1); 
cv::SiftFeatureDetector detector(0.0001, 1.0); 
cv::SiftDescriptorExtractor extractor; 
vector<KeyPoint> keypoints1, keypoints2; 
detector.detect(tmp, keypoints1); 
detector.detect(in, keypoints2); 

Mat feat1,feat2; 
drawKeypoints(tmp,keypoints1,feat1,Scalar(255, 255, 255),DrawMatchesFlags::DRAW_RICH_KEYPOINTS); 
drawKeypoints(in,keypoints2,feat2,Scalar(255, 255, 255),DrawMatchesFlags::DRAW_RICH_KEYPOINTS); 
imwrite("feat1.bmp", feat1); 
imwrite("feat2.bmp", feat2); 
int key1 = keypoints1.size(); 
int key2 = keypoints2.size(); 
printf("Keypoint1=%d \nKeypoint2=%d", key1, key2); 

Mat descriptor1,descriptor2; 
extractor.compute(tmp, keypoints1, descriptor1); 
extractor.compute(in, keypoints2, descriptor2); 

BruteForceMatcher<L2<float> > matcher; 
std::vector<DMatch> matches; 

matcher.match(descriptor1, descriptor2, matches); 
double max_dist = 0; double min_dist = 100; 

Mat img_matches; 
for(int i = 0; i < descriptor1.rows; i++) 
{ double dist = matches[i].distance; 
if(dist < min_dist) min_dist = dist; 
if(dist > max_dist) max_dist = dist; 
} 

printf("-- Max dist : %f \n", max_dist); 
printf("-- Min dist : %f \n", min_dist); 

std::vector<DMatch> good_matches; 

for(int i = 0; i < descriptor1.rows; i++) 
{ if(matches[i].distance <= max(2*min_dist, 0.03)) 
{ good_matches.push_back(matches[i]); } 
} 

drawMatches(tmp, keypoints1, in, keypoints2, 
      good_matches, img_matches, Scalar::all(-1), Scalar::all(-1), 
      vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS); 


namedWindow("SIFT", CV_WINDOW_AUTOSIZE); 
imshow("SIFT", img_matches); 
imwrite("sift_1.jpg",img_matches); 
waitKey(0); 

return 0;

这是两个图像