I have a set of images collected from a drone that I now want to stitch together. The approach I started going towards is to rotate all the images to the proper orientation, then try to stitch those together. However since the rotated images are no longer rectangular, I have large empty areas with no image data. As expected, these dark areas have caused poor stitching results.
I have seen the api for stitch:
Status stitch (InputArrayOfArrays images, const std::vector< std::vector< Rect > > &rois, OutputArray pano)
I like that there is an "ROI" parameter, however the data type is a "Rect" instead of something like a "RotatedRect" or a mask. So this looks like it won't work either.
The only other approach I can think of is to further crop the image to remove the no-data areas of the image (which would require more images to make up for the lost data).
I am not an expert in OpenCV so I'm looking for some awesome ideas from all you experts. Is there a better way to approach this?