I am trying to stitch panoramas using the OpenCV Stitcher Class in Python. The input data consists of partly overlapping images, but sometimes also images showing a sub section of another image, e.g.:
Whenever there are images showing a sub section, the stitching either fails ("Need more images" or "Camera parameters adjusting failed.") or leaves out the image showing the subsection. This also applies to images that are overlapping almost completely (>~90%).
There are sufficient features and matches found. The homography gets estimated correctly; see this output from the cv.draw_matches() function:
I have tried different feature detection methods (ORB, AKAZE, SIFT, SURF) as well as tuning various other parameters like bundle adjustment, warp type and confidence (conf_thresh).
It is essential for my application, that all images are included in the panorama, even when they show an area already covered by previous images.
What am I doing wrong? Are there any other methods for generating image stitchings using opencv-python?
The stitching package uses opencv-python and offers a lot of insight possibilities into the stitching process using the tutorial