# What's the best way to compare the same object from different “crops” or angles within multiple images?

I read a similar question, but I'm not sure the techniques discussed will help me.

Take for example the two following images:

I'm trying to determine if the above images are sourced from the same image as well as whether the objects in the following image are the same or similar enough to safely consider them the same.

There are many ways to achieve this. You could use an image based, direct similarity metric such as Sum of Absolute Distances, Sum of Squared Distances or Normalized Cross Correlation. For a general overview look here. These approaches generalize to template matching where a convolutional procedure is conducted, such as the one here.