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Thanks for your comment. Yes, my data are too bad. I have to construct 3D model so I need a good precision. So, what can I do to improve my results?

please glance at http://answers.opencv.org/question/82...

Hi,

I am trying to get something like 3D model ( Point Cloud) from two stereo photos. I have two cameras and I am trying to construct something like stereo camera.

But first, I used photos from openCV. I mean https://github.com/Itseez/opencv/tree... left* and right* photos.

Then, I used them to compute a depth map. First, I had to compute fundametnal matrix and so on. So my results are:

Fundamental Matrix:

[ -3.0705036824081975e-08, -5.5010692613284437e-06, -4.1537003996251830e-07, 1.6027916082131190e-06, 3.0918646836239451e-06, -9.0983417770729963e-02,
4.8923826219224341e-04 , 9.0751934311724153e-02, 1. ]

And rms error returned by cv::stereoCalibrate is 0.276421

I chose two photos (left04.jpg and right04.jpg) and I created a depth map for it. Obviously, I rectified images.

So I present here rectified photos and results and my questions:

Left rectified: Right rectified:

And depth maps using:

cv::StereoSGBM::create(0, 256, 31): cv::StereoSGBM::create(0, 256, 17):

cv::StereoSGBM::create(0, 128, 31): cv::StereoSGBM::create(0, 128, 17): cv::StereoSGBM::create(0, 128, 11):

Questions:

1. Which are the best for reconstruction 3D? Why? On my eye the best is the last one but I have no experience.

2. Is it the best possible depth map or can I get better results ( I think so). But why and how to?

The second question is the most important for me because I have no experience and it is too hard to decide for me.

Please make clear my doubts.

Hi, I am trying to create a depth map using cv::StereoSGBM. But I don't know how to set parameters: numdisparity, mindisparity, blocksize.

How to do it to get a good results?

Thanks in advance.