Hi, I have a stereo camera pair which only has only an offset in the x-axis, so they are on the same height and their view axes are parallel to each other and to the ground.
My goal is to reconstruct 3D points of elements lying on the ground.
However I am very confused how to proceed.
My planned procedure is as following:
- Calibrate the stereo pair with cv.stereoCalibrate()
- Use cv.stereoRectify() to obtain both projection matrices
- Use neural network to detect objects of interest in both images and use the centers of the bounding boxes as reference points
- Use triangulatePoints() to obtain 3D realworld points in meters from the camera in X Y and Z position
I am very new to computer vision and this is the basic plan I manages to acquire during research.
Is this the proper way to proceed? Or am I missing something?
Thank you very much