title: euclidean distance in sift
body: <p>I was trying to implement SIFT for my project and i have got the keypoints. I tried taking the euclidean distance of each keypoint of an image with all the keypoints of the same image but scaled down. It so happens that the distance of 1 keypoint of the query image with rest of the keypoints in the database image has kind of very similar values. How do i select the nearest neighbor and how can i be sure that this is the correct match. </p>
  
  <p>Euclidean distance was calculated as ,for i=1 to 128 sqrt[(pi-qi)^2] for p = 1 to number of keypoints in the database.</p>
  
  <p>any idea on how to proceed will be very much appreciated</p>