Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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.
Visual System01:26

Visual System

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.
Once through the pupil, the light passes through the lens, a...
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
Visual Agnosia01:12

Visual Agnosia

Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round end"...
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.
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Accelerating responsibly: From novelty to necessity in visual assistive technology.

Assistive technology : the official journal of RESNA·2026
Same author

Modern teaching for clinical education involving manual therapy: a 6-pillar approach.

Chiropractic & manual therapies·2026
Same author

PALMS+: Modular Image-Based Floor Plan Localization Leveraging Depth Foundation Model.

IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision·2026
Same author

VI-OCR: "Visually Impaired" optical character recognition pipeline for text accessibility assessment.

Scientific reports·2025
Same author

CamIO in the Browser: A Cross-Platform Audio Label Tool for Tactile Graphics.

MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)·2025
Same author

Supervised Toothbrushing and Silver Diamine Fluoride Application of Rohingya Children in a Refugee Camp in Bangladesh.

International dental journal·2025
Same journal

Biocomputation: Moving Beyond Turing with Living Cellular Computers.

Communications of the ACM·2026
Same journal

Theoretical Analysis of Sequencing Bioinformatics Algorithms and Beyond.

Communications of the ACM·2024
Same journal

The Challenges of Partially Automated Driving.

Communications of the ACM·2020
Same journal

VOLUMETRIC HEART MODELING AND ANALYSIS: Using magnetically tagged data to better understand the mechanical function of normal and abnormal hearts.

Communications of the ACM·2019
Same journal

Protein Design by Provable Algorithms.

Communications of the ACM·2019
Same journal

Why Data Citation Is a Computational Problem.

Communications of the ACM·2017
See all related articles

Related Experiment Video

Updated: May 20, 2026

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

(Computer) Vision without Sight.

Roberto Manduchi1, James Coughlan

  • 1Department of Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064.

Communications of the ACM
|July 21, 2012
PubMed
Summary
This summary is machine-generated.

Computer vision offers significant potential for individuals with blindness or visual impairments (VI) to interact with their surroundings. This review explores current assistive technologies and future computer vision applications to enhance VI independence.

More Related Videos

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

Related Experiment Videos

Last Updated: May 20, 2026

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

Area of Science:

  • Computer Science
  • Assistive Technology
  • Human-Computer Interaction

Background:

  • Visual impairments (VI) present significant challenges in daily life.
  • Computer vision (CV) technology has the potential to bridge the gap between VI individuals and the visual world.
  • Understanding the specific needs of the VI population is crucial for developing effective assistive tools.

Purpose of the Study:

  • To critically assess the needs of the visually impaired population.
  • To review existing assistive technologies for VI.
  • To identify potential roles for computer vision in enhancing these technologies.

Main Methods:

  • Literature review of assistive technologies for VI.
  • Analysis of computer vision applications in assistive technology.
  • Discussion of user interface design and system usability for VI.

Main Results:

  • Computer vision can facilitate numerous assistive technology applications for VI.
  • Appropriate user interfaces are key to translating CV output into actionable information.
  • System-level characteristics significantly impact the usability of assistive technologies.

Conclusions:

  • Computer vision presents a promising avenue for developing advanced assistive technologies for the visually impaired.
  • Novel applications of computer vision in assistive technology are emerging.
  • Further research is needed to optimize user interfaces and system design for maximum usability and safety.