Using OpenCV to correct stereo images -

I intend to create a program that stereo pair will take images, taken by a camera, and then correct and Crop when the images are seen alongside parallel or cross-eye method, then the best 3D effect will be achieved. The left image will be the reference image, the correct image will be modified for improvement. I believe that OpenCVY will be the best software for these purposes so far I believe that processing will be something like this:

• Right for rotation between images.
• Correct for Y axis change.

  By doing this, I will visualize the results in random black borders above and below the right image:

  • To remove the boundaries, both pictures have the same height Crop over.
  • Compute stereo
  • Correct image for optimal inequality

    OK, so I have to take what needs to be done and what is the order This is what I am asking for, it seems right, I have missed anything, anything in the wrong sequence. Apart from this, will you need to use all the necessary steps required to complete the specific tasks of OpenCV? Or is not the way to go OpenCV? thanks a lot.

    OpenCV is great for this.

    A full chapter in:

    

    Edit the code for ships in open book with OpenCV distribution and

    : The steps are broadly:

    1. Lens To delete distortions and rotate / translate the scenes, repopulate each image in the image center.

    2. Crop pixels which do not appear in both views (optional)

    3. Search for matching objects in each < / Li>