title: OpenCV calibration parameters and a 3d point transformation from stereo cameras
body: <p>I've 4 ps3eye cameras. And I've calibrated camera1 and camera2 using cvStereoCalibrate() function of OpenCV library
  using a chessboard pattern by finding the corners and passing their 3d coordinates into this function.</p>
  
  <p>Also I've calibrated camera2 and camera3 using another set of chessboard images viewed by camera2 and camera3.</p>
  
  <p>Using the same method I've calibrated camera3 and camera4.</p>
  
  <p>So now I've extrinsic and intrinsic parameters of camera1 and camera2,
              extrinsic and intrinsic parameters of camera2 and camera3,
         and  extrinsic and intrinsic parameters of camera3 and camera4.</p>
  
  <p>where extrinsic parameters are  matrices of rotation and translation and intrinsic are matrices of focus length and principle point.</p>
  
  <p>Now suppose there's a 3d point(world coordinate)(And I know how to find 3d coordinates from stereo cameras) that is viewed by camera3 and camera4 which is not viewed by camera1 and camera2.</p>
  
  <p>The question I've is: How do you take this 3d world coordinate point that is viewed by camera3 and camera4 and transform it with respect to camera1 and camera2's
  world coordinate system using rotation, translation, focus and principle point parameters?</p>