1

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“double dist = matches[i].distance;”时，我都会收到错误“vector subscript out of range”，有人可以帮忙吗？我被困在这里很长一段时间了。。

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 );
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3 回答 3

0

你想用这个：

vector< vector<DMatch> > matches;

它是 DMatch 的向量的向量！

于 2012-03-15T18:15:26.773 回答
0

如果您从未解决过这个问题，请确保您使用的向量类型正确，第一个应该是 anstd::vector而第二个是 a cv::vector。因此，如果您不使用任何命名空间，它应该如下所示：

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

于 2013-07-29T13:52:05.597 回答
0

也许您无法从图像中获得足够的功能？检查关键点的大小。

于 2012-01-14T08:37:47.397 回答