title: Can Haar Cascade be too accurate to be useful in this situation?
body: <p>I'm making a program to detect shapes from an r/c plane for a competition. I have no real images of the targets, but I do have computer generated examples of them on the rules.</p>
  
  <p>My question is, can I train my program to detect real world objects based on computer generated shapes or should I find a different method to complete this task? </p>
  
  <p>I would like to know before I foolishly generate 5k samples and find them useless in the end.</p>
  
  <p>EDIT: I also don't know the exact color of the objects. If I feed the program samples of varying color, will it be a problem?</p>
  
  <p>Thanks in advance!!</p>
  
  <p><a href="http://i1090.photobucket.com/albums/i377/jackalsinthecourtyard/ScreenShot2014-02-23at23120AM.png" rel="nofollow">Edit2: Here's what groups from my school detected in previous years</a></p>
  
  <p>As you can see, the detected images are not nearly as flawless as what would appear in real life. If you can suggest a better method, that would help. </p>