title: Viola-Jones face detection and features per weak classifeirs
body: <p>From what I've read, each weak classifier in Viola-Jones face detection gets all N training samples and only 1 feature.</p>
  
  <p>1) Does that mean that I will have to check over 160k classifiers at first for 24x24 frame, since there are that many Haar features?<br>
  2) Does each weak classifier check it's own feature in each of the N training samples? I. e. uses the fraction of each of N images and checks integral image to compute whether it's face or not?</p>