title: problems in 3D reconstruction by triangulation opencv
body: <p>I'm currently working in an stereo vision project, in which I'm supposed to reconstruct 3D points from correspondences found in each camera view, and for that I'm using OpenCV 2.4.7 for C++.</p>
  
  <p>I was able to correctly calibrate both cameras, compute fundamental matrix, compute re-projection matrix and also rectify images.</p>
  
  <p>My problem lies on the final part of the project, which is compute 3D world coordinates from 2D point correspondences. I already tried using cv::triangulatePoints, but the results where points with coordinates (0, 0, 0), no matter what the input points were. I also tried the linear triangulation algorithm by Hartley &amp; Strum, but that didn't give me good results either.</p>
  
  <p>Could somebody give me a hint on what function I should use? Or maybe some tips on how to correctly implement the ones I've talked about. My biggest problem is to find good documentation on the internet, so that's why I decided to ask here.</p>
  
  <p>Thank you!</p>