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Related Concept Videos

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...
Emission Spectra02:39

Emission Spectra

When solids, liquids, or condensed gases are heated sufficiently, they radiate some of the excess energy as light. Photons produced in this manner have a range of energies, and thereby produce a continuous spectrum in which an unbroken series of wavelengths is present.
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...
Spherical Coordinates01:23

Spherical Coordinates

Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...

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Related Experiment Video

Updated: Jun 17, 2026

Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores
09:46

Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores

Published on: August 19, 2013

An object-color space.

Alexander D Logvinenko1

  • 1Department of Vision Sciences, Glasgow Caledonian University, Glasgow, UK. a.logvinenko@gcal.ac.uk

Journal of Vision
|January 8, 2010
PubMed
Summary
This summary is machine-generated.

A new color space represents object colors independently of illumination. This system uses an ideal color atlas with three numbers correlating to hue, whiteness/blackness, and chroma for unique object color representation.

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Area of Science:

  • Color Science
  • Computer Vision
  • Image Processing

Background:

  • Traditional color spaces like CIE 1931, CIELAB, and sRGB are designed for self-luminous objects and struggle with representing reflecting objects under varying illumination.
  • Existing color spaces are limited to fixed illumination conditions, hindering accurate color representation of objects in diverse environments.
  • Metaphorical interpretations of 'color space' are distinct from its vector space definition for subjective color indistinguishability.

Purpose of the Study:

  • To introduce a novel color space capable of representing object colors independently of illumination.
  • To develop a complete color atlas based on reflectance spectra for unique metameric class representation.
  • To establish a system where object color is specified by parameters correlating with hue, whiteness/blackness, and chroma.

Main Methods:

  • An ideal color atlas was constructed using reflectance spectra with two values (k or 1-k) and two transitions (λ(1), λ(2)).
  • The atlas is designed such that each reflecting object is metameric to an element within the atlas.
  • A geographical coordinate system was employed to geometrically represent each object color as a radius vector.

Main Results:

  • The proposed color space uniquely represents metameric classes irrespective of illumination changes.
  • Object colors are specified by three numbers: λ (hue correlation), δ (whiteness/blackness correlation), and α (chroma correlation).
  • Geometric representation uses radius vector length (α), latitude (δ), and longitude (λ) for each object color.

Conclusions:

  • The developed color space offers a robust method for representing object colors independent of illumination.
  • The three-number specification (λ, δ, α) provides intuitive correlations with perceived color attributes.
  • This approach advances the accurate representation and management of object colors across different lighting conditions.