Hi,
I'm beginner in OpenCV domain and currently I try to implement the ["Features2D + Homography tutorial](http://docs.opencv.org/2.4/doc/tutorials/features2d/feature_homography/feature_homography.html)" in Java with OpenCV3.1 and the supplied Java bindings.
In this code:
//-- 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;
}
Why in the for loop they use **descriptors_object.rows** ? Why not using the matches vector's length ?
And my second question is what exactly contains a descriptors_object/descriptors_scene Mat ? Is it a 2 dimension Mat ? With the same width and height than the image used to create this descriptor ?
↧