The PCM algorithm from MIST shows the best local overlap between two images. Pretty straightforward with OpenCV/Python. https://github.com/USNISTGOV/MIST/wiki/assets/mist-algorithm-documentation.pdf …pic.twitter.com/9nAsZ8qJ6d
-
Isn't this just the usual cross-correlation operation, just in 2D?
I didn't read the document, but as someone who wrote similar software: Especially for cases where you don't have a lot of overlap, phase correlation works *much* better than cross correlation. Also: You'd want to start with some fft+coordinate-transform tricks for rotation first.
-
-
If you are looking for a offset between signals corrupted by AWGN, filtered cross correlation (not phase correlation) works best. See my Ph.D. dissertation for the proof and evidences thereof. http://zipcpu.com/about/gisselquist-technology.html …
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.