title: Face detection (viola-jones) in matlab
body: <p>So I found the cascade object detector in matlab that use the Viola-Jones algorithm to detect faces. Very easy to use, and works great!</p>
  
  <p>But got a few questions. </p>
  
  <p>The viola-jones method got four stages:</p>
  
  <ol>
  <li>Haar Feature Selection</li>
  <li>Creating an Integral Image</li>
  <li>Adaboost Training</li>
  <li>Cascading Classifiers</li>
  </ol>
  
  <p>In matlab I can use FrontalFace(CART) and FrontalFace(LBP). These are Trained cascade classification model, so they will be part of stage 4 right?
  But what is the difference between stage 1 and stage 4 if I use FrontalFace(CART)? Both use Haaar features it says.</p>
  
  <p>Can we say that FrontalFace(CART) and FrontalFace(LBP) are two different ways of detecting faces? Can I compare those two against each other to see which one is better?
  Or should I find another method to compare against the viola-jones?</p>
  
  <p>Are there other face detection methods that are easy to implement in matlab?
  Found some on the internet (using skin color etc), but Matlab is quite new to me. So I felt that those codes where abit to complicated for me.</p>