How we see?

Every single living system has vision techniques.Thereby they can detect objects. But there is a question right there; how we can be sure this object is really what it looks like. Because context is everything. For example; when we see an orange point on different backgrounds, we can easily decide they are the same orange point or on the same background we can say they are different colors. Actually context makes illusions which we can think of the bugs of our visual system.There is a speech which is about these illusions by Beau Lotto.

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Hi! This is a blog to record all of our studies during the Project which is about image processing. This Project can be a game based on augmented reality or an application using image processing. We are going to decide the exact subject later. Firstly we are trying to understand what is image processing and what makes it so hard? According to our first readings image processing is hard because we see the objects around us and process them very easily without an effort. This makes it hard to accept that our sight differs from our perception. Although our eyes behaves just like a camera, our neurons makes a reasonable image from the photo we took with our eyes. To solve a problem like this we must work on representation and algorithm. The people who never think abut visual perception might say that inner screen theory is a good answer. But this theory does not explain how we can understand the objects’ shapes, colors or the other features. There is another evidence that proofs the existence of our visual perception system is illusions. That means our visual perception system has a working algorithm and it sometimes makes mistakes based on its assumptions.