By the end of this chapter, you will understand what features are and learn to apply them in computer vision applications. Look at the following image and think about how you would solve a similar puzzle:
Most probably, you would search for patterns or specific features that are unique to the neighboring elements. Image features work similarly by representing the image in a set of parameters making them readily identified, tracked, and compared.
Let's look at two different images of cats and try finding the areas that match those images:
It seems to me that ears and eyes are common for both cats. Let's see what would one of the algorithms we will learn later in the chapter would do to the following image:
From the preceding result, you can see that the algorithm focused on the cats' ears, and this is represented by white...