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Related Concept Videos

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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...
Perception01:28

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
Factors Affecting Perception01:25

Factors Affecting Perception

Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
Perceptual Constancy01:12

Perceptual Constancy

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.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

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Related Experiment Video

Updated: Jun 16, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Estimating perception of scene layout properties from global image features.

Michael G Ross1, Aude Oliva

  • 1Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, USA. mgross@broadinstitute.org

Journal of Vision
|February 11, 2010
PubMed
Summary

This study reveals how humans perceive scene layout from images, developing a computational model that predicts these judgments. Optimal spatial resolutions for perceiving depth, openness, and perspective vary by content and property.

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Last Updated: Jun 16, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Area of Science:

  • Computer Vision
  • Human Visual Perception

Background:

  • Understanding the link between image features and perceived scene structure is crucial for both human and computer vision.
  • Key questions remain regarding which image features inform layout perception and the necessary spatial resolutions.

Purpose of the Study:

  • To investigate how humans perceive global spatial layout properties (depth, openness, perspective) from single images.
  • To develop and validate a computational model that accurately predicts human judgments of scene layout.
  • To determine the optimal spatial resolutions for perceiving different layout properties.

Main Methods:

  • An experiment was conducted to gather human judgments on scene layout properties.
  • A computational model was developed to predict these human judgments.
  • Analysis of the model's performance and optimal parameters was performed.

Main Results:

  • A computational model was created that reliably predicts human perception of global scene layout.
  • The model's predictions are generalizable across different observers.
  • Optimal spatial resolutions for layout perception differ: high for openness, medium for depth, and low for perspective.

Conclusions:

  • Human perception of global scene layout from images is reliable and can be computationally modeled.
  • The spatial resolution required for layout perception is context-dependent.
  • This model offers a potential solution for perceptual ambiguities in scene reconstruction.