title: Can't train OpenCV CascadeClassifier to detect company logo
body: <p>I'm trying to train CascadeClassifier from OpenCV to detect a simple high-contrast company logo, but it doesn't work. What it detects looks like just random image patches. It doesn't even work on the original sample. I'm using opencv_createsamples to create a set of positives on a plain white background from a single original logo image.</p>
  
  <p>At the same time I was able to successfully train a cascade for detecting stamps using many samples from real documents. This looks strange to me, because a stamp is much more complex than company logo.</p>
  
  <p>What can I be doing wrong? Can LBP or Haar features be used do describe a simple object such as logo?</p>