Harris-Affine is a way for a computer to understand and track changes in pictures when those pictures aren’t straight on. So sometimes when you take a picture, the thing you’re taking a picture of actually looks a little bit different - maybe it’s turned to the side or it’s bigger or smaller than usual. Harris-Affine helps the computer to recognize that the picture is still of the same thing, even if it looks a bit different. It does this by finding certain points in the picture that are important and unique, almost like landmarks. Then it can track those points even if the whole picture looks a bit different. It’s like putting puzzle pieces together - even if the pieces are different sizes or different shapes, the computer can still figure out how they fit together because it recognizes the important details.