Question

We as human, could recognize these two images as same image :

In computer, it will be easy to recognize these two image if they are in the same size, so we have to make Preprocessing stage or step before recognize it, like scaling, but if we look deeply to scaling process, we will know that it’s not an efficient way.

Now, could you help me to find some way to convert images into objects that doesn’t deal with size or pixel location, to be input for recognition method ?

Thanks advance.

Answer 1

I have several ideas:

• Let the image have several color thresholds. This way you get large
  areas of the same color. The shapes of those areas can be traced with
  curves which are math. If you do this for the larger and the smaller
  one and see if the curves match.
• Try to define key spots in the area. I don’t know for sure how
  this works but you can look up face detection algoritms. In such
  an algoritm there is a math equation for how a face should look.
  If you define enough object in such algorithms you can define
  multiple objects in the images to see if the object match on the
  same spots.
• And you could see if the predator algorithm can accept images
  of multiple size. If so your problem is solved.