markusbr

Are you referring to the sample "https://github.com/spmallick/learnopencv/tree/master/FaceMorph" and the blog "https://learnopencv.com/face-morph-using-opencv-cpp-python/", and experimented with the referenced equation "(2)" under "https://learnopencv.com/face-morph-using-opencv-cpp-python/#id1540306373" within the section "Alpha blend warped images"?

Have a look at the embedded Youtube video, at this time-position: "https://youtu.be/pqpS6BN0_7k?t=45" => "Change the morphing parameter alpha for animation" => referring to equation (2)

Try adding a slider/trackbar (https://docs.opencv.org/3.4/da/d6a/tutorial_trackbar.html) to the test-code.

With a slider/trackbar:   

You mean e.g. EXIF data (like GPS, longitude or latitude) in JPGs of TIFF files? After `cv2.imread()` you get a matrix with the "raw data" only, decompressed raw pixel data,...

Any open questions left? Feel free to close this issue.

Good luck with the exams!

In a similiar challanging environment (incar cabin) infrared camera sensors are used. Would that be an option for you? Or print the tags on reflection capable paper?

Think about foils like on car number plates, or stripes on emergency vehicles, e.g. "https://www.reflecto.shop/". With using infrared camera sensors the vehicle number plate recognition&detection got greatly improved (especially with...

Isn't your environment static...? What do you use the tags for - in a AR/VR environment to dynamically place the various screens to composite the "plane's control board"? What about...