Visual perception is one of the senses, consisting of the ability to detect light and interpret (see) it. The resulting perception is known as eyesight, sight or naked eye vision. Vision has a specific sensory system, the visual system.
There is disagreement as to whether or not this constitutes one, two or even three distinct senses. Some people make a distinction between the "black and white" vision system and the color one, pointing out that they use completely different sets of photoreceptors (respectively rod cells and cone cells). Some argue that perception of depth also constitutes a distinct sense, but others persuasively argue that depth is just one of many pieces of information extracted from several visual cues (it is based on the stereoscopic effect of having two eyes, the relative size of objects, motion, etc). Many people are also able to perceive the polarization of light.
Vision's general goal is to identify, reasonably accurately, the features of our environment: roughly, what objects are present and moving where. It receives a lot of information that is irrelevant to this task, that it needs to sort through and discard: illumination patterns, viewing position, etc. Those are confounding variables. Call S = (F,C) the scene, with F the features we’re interested in and C the confounding variables. S determines I, the pattern of illumination on the retina, which is all the information our visual system has on the current scene. The task is to find S given I. This problem is under-constrained: many different S correspond to the same I, and many I's could correspond to the same S. There are many reasons for this, but one of them is that the retina is 2 dimensional, and so it loses a lot of information in perceiving a 3-dimensional world.
To see why, consider the figure of a circle such as this one: O. It could correspond to an infinity of ellipses viewed at a certain slant. But we always interpret it as a circle viewed on the frontal plane – the explanation we infer from the data for this particular stimulus.
Inference requires prior assumptions about the world: two well-known assumptions that we make in processing visual information are that light comes from above, and that objects are viewed from above and not below. The study of visual illusions (cases when the inference process goes wrong) has yielded a lot of insight into what sort of assumptions the visual system makes.
The unconscious inference hypothesis has recently been revived in so-called Bayesian studies of visual perception. Proponents of this approach consider that the visual system performs some form of Bayesian inference to derive a percept from sensory data. Models based on this idea have been used to describe various visual subsystems, such as the perception of motion or the perception of depth. An introduction can be found in Mamassian, Landy & Maloney (2002). See here * for an non-mathematical tutorial.
The Gestalt Laws of Organization have guided the study of how people perceive visual components as organized patterns or wholes, instead of many separate parts. Gestalt is a German word that translates to "configuration or pattern". According to this theory, there are six main factors that determine how we group things according to visual perception.
It has also been shown that certain individual differences such as impairment of sight and spatial skills can also affect our visual perception. There are also other factors that influence how we perceive things such as personality, cognitive styles, gender, occupation, age, values, attitudes, motivation, religious beliefs, economic status, education, habits, etc.
Computer vision | Psychology | Vision
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