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Related Concept Videos

Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Visualizing Visual Adaptation
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Rethinking visual scene perception.

Helene Intraub1

  • 1Department of Psychology, University of Delaware, Newark, DE, USA.

Wiley Interdisciplinary Reviews. Cognitive Science
|August 25, 2015
PubMed
Summary

Visual scene perception integrates sensory input with expectations and context. A multisource model explains how the brain simulates scenes beyond limited visual data.

Area of Science:

  • Cognitive Science
  • Neuroscience
  • Visual Perception

Background:

  • Vision faces physiological limits like discrete fixations and retinal inhomogeneity.
  • Despite limitations, humans perceive scenes as coherent and meaningful.

Purpose of the Study:

  • Contrast traditional visual-cognitive models with a new multisource model of scene representation.
  • Explain how the brain constructs a coherent scene perception.

Main Methods:

  • Conceptual analysis and comparison of two models of visual scene representation.
  • Discussion of the pros and cons of each model.

Main Results:

  • The traditional model views scene representation as solely based on visual input.

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  • The multisource model proposes scene representation is an egocentric spatial framework filled by visual input, amodal perception, expectations, and associations.

    • Conclusions:

    • The multisource model suggests nonvisual sources simulate likely scenes, supplementing partial visual information.
    • This framework reconciles physiological constraints with the subjective experience of scene perception.