I have two images of two objects that are suppose to be exactly the same. I use one for reference and one as my model. I want to find an algorithm that will help me find on which areas these images vary? and return a binary map (the size of the image), that indicates of the variation. Its an easy task when we don't take into acount noise and small shifts, but in real life it does not work like that.
What is considered state of the art to tackle that problem in a way that would fit such factors? Thanks!