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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.
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...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Distance Corrections01:15

Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...

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Related Experiment Video

Updated: Jun 4, 2026

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
08:04

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

Matching and correlation computations in stereoscopic depth perception.

Takahiro Doi1, Seiji Tanabe, Ichiro Fujita

  • 1Graduate School of Frontier Biosciences, Osaka University, Toyonaka, Osaka, Japan. taka_d@bpe.es.osaka-u.ac.jp

Journal of Vision
|March 4, 2011
PubMed
Summary
This summary is machine-generated.

Visual depth perception uses two computations: matching and correlation. Matching dominates fine depth, while both contribute to coarser depth, with correlation

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Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
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Area of Science:

  • Neuroscience
  • Computational Vision
  • Psychophysics

Background:

  • Stereoscopic vision relies on binocular disparity to infer depth.
  • The visual cortex employs matching and correlation computations for disparity encoding.
  • The distinct roles of these computations in stereoscopic perception remain unclear.

Purpose of the Study:

  • To investigate how matching and correlation computations contribute to stereoscopic depth perception.
  • To dissociate the contributions of these two computations by manipulating disparity magnitude.
  • To understand the decision-making process in near/far discrimination tasks.

Main Methods:

  • Subjects performed near/far discrimination tasks using random-dot stereograms (RDS).
  • Disparity magnitude was varied across sessions (small: 0.03°, large: 0.48°).
  • Image contrast was manipulated (correlated vs. anti-correlated) to dissociate computations.

Main Results:

  • For small disparities, performance was near chance with anti-correlated RDS but improved with correlated dots.
  • For large disparities, perceived depth direction reversed with anti-correlated RDS compared to correlated RDS.
  • Performance was impaired when anti-correlation was applied to only half of the dots.

Conclusions:

  • Stereoscopic depth perception involves a weighted average of matching and correlation computations.
  • The weight of the correlation computation increases with disparity magnitude.
  • Matching computation is crucial for fine depth perception, while both contribute to coarser depth perception.