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

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.
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle layer, the vascular tunic,...
Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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...
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.
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

Selective Enrichment of Non-Canonical Vγ9-Jγ2 TRG Clonotypes in Clear Cell Renal Cell Carcinoma With Shorter CDR3 Loops.

Immune network·2026
Same author

Expression, purification, and preliminary cryo-EM analysis of the human urotensin 2 receptor/urotensin 2 complex.

Protein expression and purification·2026
Same author

Hypertension Care Quality and Incidence of Complications Among Hypertensive Patients With Disabilities in Korea: An Analysis of a Cohort Study Using National Health Insurance Data.

Journal of Korean medical science·2026
Same author

Surface-Engineered ZnO Nanoparticles via Acetone Immersion for Charge-Balanced High Resolution Full-Color Organic Light Emitting Diode Displays.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Retrospective population-based cohort study on the risk of cardiovascular disease among oesophageal cancer survivors.

The British journal of surgery·2026
Same author

Korea-Japan Biophysics Collaboration: A journey through microbial rhodopsin research.

Biophysics and physicobiology·2026

Related Experiment Video

Updated: May 8, 2026

How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

Glossiness representation using binocular color difference.

Woo-Soon Jung1, Young-Gyu Moon, Jae-Hyun Park

  • 1School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea.

Optics Letters
|August 14, 2013
PubMed
Summary
This summary is machine-generated.

Binocular color difference can simulate object glossiness on 3D displays without specular reflections. Human perception interprets this difference as spectral reflectance, not transparency, enhancing visual realism.

More Related Videos

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter
05:14

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

Published on: September 16, 2025

Related Experiment Videos

Last Updated: May 8, 2026

How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter
05:14

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

Published on: September 16, 2025

Area of Science:

  • Visual perception
  • Computer graphics
  • Display technology

Background:

  • Surface glossiness is a key visual attribute influencing object appearance.
  • Traditional methods for rendering glossiness often rely on simulating specular reflections.
  • Achieving realistic glossiness on 3D displays without complex rendering is challenging.

Purpose of the Study:

  • To investigate the potential of binocular color difference for expressing surface glossiness.
  • To determine if binocular color difference can mimic the appearance of real-world glossiness on 3D displays.
  • To understand how human visual perception interprets binocular color differences in relation to surface properties.

Main Methods:

  • Utilizing simple images with controlled binocular color differences.
  • Presenting these images on 3D display devices.
  • Comparing the perceived surface appearance with real objects exhibiting similar binocular color differences.
  • Analyzing human perceptual interpretations of binocular color differences.

Main Results:

  • Binocular color difference effectively expresses surface glossiness on 3D displays, even without specular reflection patterns.
  • Images with binocular color difference create a perceptual impression similar to real objects with the same difference.
  • Human binocular perception tends to interpret binocular color difference as spectral reflectance rather than transparency.
  • Both binocular lightness and chromatic/hue differences contribute to perceived binocular glossiness.

Conclusions:

  • Binocular color difference is a viable method for rendering surface glossiness on 3D displays.
  • This technique offers a simpler alternative to traditional specular reflection rendering for achieving realistic glossiness.
  • Understanding the perceptual link between binocular color difference and spectral reflectance can inform future 3D display design.