Color Science and Applications

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.

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.

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.

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.

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.

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.

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.

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.

Computational Luminance Constancy from Naturalistic Images

The paper investigates how scene variability affects the estimation of object luminance reflectance using supervised statistical learning on simulated cone photoreceptor responses from naturalistic images.