Seeing and Perceiving

Object Recognition The first problem in high-level vision that we’ll consider is the problem of object recognition . What I mean by object recognition is the ability to look at an image of something and say what it is. Are you looking at a cat, a dog, a person, a car, or something new that you’ve never seen before? Coming up with some kind of label to assign to a part of an image based on what you think it is more or less encompasses what object recognition is. There are several different kinds of labels we might try to assign to the things we look at, and it’s worth distinguishing between these before we start to think about this problem. First, we might think about naming objects using the sort of common labels you use all the time to refer to the things around you: mug, pencil, shoe, etc. Identifying objects using these kinds of labels is what we call basic-level categorization . The definition of what the basic level is is honestly a bit hand-wavy: We usually define it as th...

Introduction to high-level vision With this blog post, we begin to talk about a new and challenging topic in human vision: high-level vision. Before, we go any further, we need to address an important question: How is this different than what we’ve been talking about before?   To date, we’ve spent a lot of time talking about some of the basic principles regarding the way your visual system measures the light in your environment. For example, you have photoreceptors that transduce light and provide a signal that carries information about the wavelength of the light you saw. Further on in your visual system, cells in the LGN and V1 measure various patterns of light and send information on about the dots, edges, and lines you may have seen. These kinds of processes that are mostly concerned with making measurements that describe the incoming light are what I’d refer to as low-level vision . Figure 1  - Measuring the wavelength content of a light or the pattern of li...