Color Science and Applications

Systematic comparison of color representations between humans and deep neural networks: towards predicting human color perception in a vast color space

This study compares how different learning paradigms enable deep neural networks to predict human color perception across a vast color space.

Identification of surface colors across environmental illuminations

The paper investigates human color constancy in complex lighting environments, finding it remains robust despite misleading global color cues.

An empirical three-dimensional metric field for color space

The paper presents a three-dimensional empirical metric field for color discrimination in sRGB space, showing spatially smooth and consistent structures across observers.

When the brightest is not the best: illuminant estimation from the geometry of specular highlights

The paper shows observers use highlight geometry, not just brightness, to estimate illuminant color from specular highlights in rendered scenes.

Model-optimized stimulus distortions for adaptive estimation of individual sensory representations

The paper introduces a Bayesian adaptive method to estimate individual sensory representations by optimizing stimulus distortions based on perceptual judgments.

The perception of realism is correlated with the concept of physical gamut

This study investigates if the physical gamut correlates with realism judgments in natural scenes and finds that a real-world gamut better aligns with human perception than a theoretical model.

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

The paper trains a deep convolutional neural network to estimate surface reflectance and tests its susceptibility to lightness illusions, finding it performs well compared to classical models.

Optimal colors can predict luminosity thresholds in natural scenes

This study shows that optimal colors can predict luminosity thresholds in natural scenes, suggesting that physical gamuts encompass both self-luminosity and naturalness concepts.

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

This study compares how deep neural networks and human observers achieve lightness constancy by estimating albedo and illumination in controlled conditions.

Colour Constancy: Colour Interaction between Local Surround and Illumination in Virtual Reality Scenarios

This study investigates how surrounding colours affect colour constancy in virtual reality by manipulating lighting and object properties.

Human color constancy in cast shadows

The paper investigates human color constancy in cast shadows, finding that color perception remains stable despite changes in lighting conditions and shadow recognition.

A Standardized Method for Insect Color Analyses using Open Source Software: AInsectID Version 1.1 Color Merge

The paper introduces a standardized imaging method to improve the reliability of insect color analysis using AInsectID Version 1.1 Color Merge, demonstrating its robustness under varying environmental conditions.

The effect of illumination cues on color constancy in simultaneous identification of illumination and reflectance changes

This study investigates how illumination and reflectance changes are perceived and identifies that their judgments are not independent, with visual cues improving color constancy.

VR HMD color calibration and accurate control of emitted light using Three.js

This paper introduces a method for calibrating VR HMD colors using Three.js and evaluates three HMDs, finding the HTC Vive Pro Eye performs best.

Deriving the cone fundamentals: a subspace intersection method

This paper introduces a computational method to estimate human cone fundamentals using only color matching data from dichromatic observers, without requiring trichromatic data or knowledge of primary lights.

How many colours can you see? Real environmental lighting increases discriminability of surface colours

The paper shows that directional variability in real-world lighting can resolve most cases of illuminant metamerism, benefiting color-deficient observers more than trichromats.

Detecting color differences in lentil flour samples using an inexpensive, hand-held colorimeter.

The paper tests a new spectrophotometer (Nix) for assessing red colour intensity in milled red lentil flour, finding it comparable to the industry standard HunterLab colorimeter.

PySilSub: An open-source Python toolbox for implementing the method of silent substitution in vision and nonvisual photoreception research

PySilSub is a Python toolbox for silent substitution in photoreception research, enabling selective stimulation of photoreceptor classes using linear algebra and optimization.

Color and gloss constancy under diverse lighting environments

This study measures how well participants can judge color and gloss of objects under different lighting conditions, finding high accuracy in hue but poor performance in chroma, lightness, and gloss.

Invariant categorical color regions across illuminant change coincide with focal colors

The paper investigates color categories' invariance across illuminant changes and finds that focal colors are more stable than non-focal colors.

Modelling surface color discrimination under different lighting environments using image chromatic statistics and convolutional neural networks

The paper models color discrimination thresholds under different lighting conditions using chromatic statistics and CNNs, finding that human-response-trained CNNs outperform chromatic statistics models.

Exploiting Color Space Geometry for Visual Stimulus Design across Animals

The paper presents methods and software for designing visual stimuli based on photoreceptor spectral sensitivities across species.

Color constancy based on the geometry of color distribution

The paper tests a model for color constancy using psychophysical experiments and finds it outperforms conventional models in estimating illuminant chromaticity.

Physiologically relevant metrics for evaluating photoreceptor signal reproduction in visual displays

This paper introduces two physiologically relevant metrics to evaluate how well visual displays reproduce photoreceptor signals, using real-world spectra and various illuminants.

Explaining #TheShoe based on the optimal color hypothesis: The role of chromaticity vs. luminance distribution in ambiguous image

The paper investigates the #theShoe color perception ambiguity using the optimal color hypothesis, showing that illuminant intensity assumptions affect color appearance and support the hypothesis.

The time course of chromatic adaptation under immersive illumination

This study measures the time course of chromatic adaptation under various illuminations and finds it follows a proportional rate growth function, depends on test-background contrast, and is similar across different chromaticities.

The color appearance of three-dimensional, curved, transparent objects

This study investigates color matching for three-dimensional transparent objects, finding that observers match mean chromaticity but luminance depends on background and matching element, with some models generalizing better than others.

Hyperspectral environmental illumination maps: Characterizing directional spectral variation in natural environments

The paper captures hyperspectral environmental illumination maps with 33 spectral channels, revealing directional spectral variation in natural environments.

Geometrical structure of perceptual color space: mental representations and adaptation invariance

The paper tests the geometric structure of perceptual color space using midpoint judgments and shows it depends on mental representations, revealing an affine geometry when using opponent-color representations.

Computational-Observer Analysis of Illumination Discrimination

This study compares human ability to discriminate illumination with a computational model of cone isomerizations, identifying aspects of performance that require further explanation.