Question

我根据http://opencv.itseez.com/doc/tutorials/features2d/feature_homography/feature_homography.html#feature-homography使用FlannBasedMatcher。每次运行此行时，我都会收到错误“向量下标超出范围”“double dist = matches [i] .distance;”任何人都可以帮忙吗？我被困在这里已经有一段时间..

int minHessian = 400;

  SurfFeatureDetector detector( minHessian );

  std::vector<KeyPoint> keypoints_object, keypoints_scene;

  detector.detect( img_object, keypoints_object );
  detector.detect( img_scene, keypoints_scene );

  //-- Step 2: Calculate descriptors (feature vectors)
  SurfDescriptorExtractor extractor;

  Mat descriptors_object, descriptors_scene;

  extractor.compute( img_object, keypoints_object, descriptors_object );
  extractor.compute( img_scene, keypoints_scene, descriptors_scene );

  //-- Step 3: Matching descriptor vectors using FLANN matcher
  FlannBasedMatcher matcher;
  std::vector< DMatch > matches;
  matcher.match( descriptors_object, descriptors_scene, matches );

  double max_dist = 0; double min_dist = 100;

  //-- Quick calculation of max and min distances between keypoints
  for( int i = 0; i < descriptors_object.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 );

Answer 1

也许你的图像无法获得足够的功能？检查关键点的大小。

Answer 2

你想用这个：

vector< vector<DMatch> > matches;

它是DMatch矢量的载体！

Answer 3

如果您从未解决此问题，请确保使用正确类型的向量，第一个应为std::vector，而第二个为cv::vector。因此，如果您没有使用任何名称空间，它应该如下所示：

std::vector<cv::vector<cv::DMatch>> matches;

Opencv DMatch距离超出范围

3 个答案: