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

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...
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.
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.
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...
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
Three-Dimensional Force System01:30

Three-Dimensional Force System

In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...

You might also read

Related Articles

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

Sort by
Same author

An image-computable spatio-chromatic receptive field model of the midget retinal ganglion cell mosaic across the retina.

Journal of computational neuroscience·2026
Same author

A deep convolutional neural network trained for lightness constancy is susceptible to lightness illusions.

Journal of vision·2026
Same author

The Cone Optoretinogram as a Function of Retinal Eccentricity.

Photonics·2026
Same author

Deep neural networks trained for estimating reflectance and illumination achieve lightness constancy differently than human observers.

Journal of vision·2026
Same author

Pm37 as a susceptible Sr22 allele confers resistance to wheat powdery mildew and leaf rust.

Nature communications·2026
Same author

From theory to practice - establishing an oncology family caregiver support process.

Journal of psychosocial oncology·2025
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
Same journal

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026
Same journal

In pursuit of saccade awareness: Limited volitional control and minimal conscious access to catch-up saccades during smooth pursuit eye movements.

Journal of vision·2026
Same journal

Dissociable effects of element-lifetime and stimulus-duration on local and global motion processing: An equivalent noise study.

Journal of vision·2026
See all related articles

Related Experiment Video

Updated: May 23, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

The color constancy of three-dimensional objects.

Bei Xiao1, Brendan Hurst, Lauren MacIntyre

  • 1Graduate Program in Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.

Journal of Vision
|April 18, 2012
PubMed
Summary
This summary is machine-generated.

Human color constancy, or the ability to perceive object colors despite changing illumination, was studied for 3D objects. Results show object shape and surface properties influence color constancy, challenging existing models.

More Related Videos

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

Related Experiment Videos

Last Updated: May 23, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

Area of Science:

  • Visual Perception
  • Computational Neuroscience
  • Color Science

Background:

  • Human color constancy is well-studied for flat, matte surfaces under diffuse illumination.
  • Natural viewing involves 3D objects in 3D scenes, yet color constancy for these is poorly understood.

Purpose of the Study:

  • To investigate color constancy for 3D objects (matte disks, matte spheres, glossy spheres) within simulated 3D scenes.
  • To compare color constancy across different object types and under varying cue conditions (consistent vs. reduced cues).

Main Methods:

  • A forced-choice task was employed to measure achromatic chromaticity of test objects.
  • Stimuli were viewed in stereoscopic 3D scene simulations with manipulated illuminants.
  • Constancy indices were computed under consistent-cue and reduced-cue conditions.

Main Results:

  • Color constancy was broadly similar across matte disks, matte spheres, and glossy spheres.
  • A significant interaction was found between object type and cue condition.
  • Constancy was best for matte disks in consistent-cue conditions, but best for spheres in reduced-cue conditions.

Conclusions:

  • The object type and available visual cues significantly modulate color constancy in 3D scenes.
  • Current models of color constancy may need refinement to account for these object-specific and cue-dependent effects in 3D environments.