title: Hand Posture Recognition Using SURF with Adaptive Boosting
body: <p>I´m trying to implement an algorithm of this paper:</p>
  
  <p><a href="http://www.bmva.org/bmvc/2012/WS/paper5.pdf" rel="nofollow">http://www.bmva.org/bmvc/2012/WS/paper5.pdf</a></p>
  
  <p>It´s the "Training process for all target postures" algorithm, in the page 6.</p>
  
  <p>Basicly is a technique that use adaboost and SURF (extractor of features) for hand posture recognition. Like I wrote before, i´m trying implement but i still didn´t understand this algorithm. The problem are some question that i have, like:</p>
  
  <ol>
  <li>What is the matching score list, mention in page 5, last paragraph?</li>
  <li>What is the relationship between threshold and the training process (trainning algorithm)?</li>
  <li>In the line 7 of training algorithm: Which is the return of the function ht(Ix,ft,tet)?</li>
  </ol>
  
  <p>I would like to know if someone have this algorithm implemented or if someone can help  me in this questions.</p>
  
  <p>Thank you very much for the answer (help), because i´m already investing some time in this algorithm and i still didn´t understand this algorithm to implement.</p>