Back

An empirical three-dimensional metric field for color space

Koenderink, J.; van Doorn, A.; Braun, D. I.; Gegenfurtner, K. R.

2026-03-11 neuroscience
10.64898/2026.03.09.710376 bioRxiv
Show abstract

A complete empirical characterization of color discrimination in three dimensions has long remained out of reach. Classical studies, beginning with MacAdams ellipses, provided local measurements in restricted chromatic planes, but a spatially dense and internally consistent mapping of discrimination structure across full color space has not yet been achieved. Here we present such a systematic three-dimensional measurement of color discrimination in RGB space. Eight observers measured discrimination regions at 35 reference colors distributed on a body-centered cubic lattice within the RGB cube. At each location, color differences were probed along seven orientations, yielding 14 directional extents. These measurements defined centrally symmetric convex regions that were fitted with minimum-volume ellipsoids, providing a compact description of local discrimination structure. Ellipsoids were represented as symmetric positive-definite matrices and analyzed using a Frobenius geometry, enabling normalization across observers and smooth interpolation to arbitrary locations. The resulting metric field is spatially smooth, highly structured, and remarkably consistent across observers up to an individual global scale factor. Grain size increases along the achromatic axis and exhibits systematic chromatic asymmetries. Comparison with CIEDE2000 reveals substantial agreement in overall scale variation but systematic differences in local anisotropy. Together, these data provide a coherent three-dimensional empirical mapping of color discrimination across RGB space and establish an empirical framework for perceptual color metrics.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 0.5%
19.6%
2
Nature Communications
4913 papers in training set
Top 9%
15.4%
3
PLOS Computational Biology
1633 papers in training set
Top 3%
10.6%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
9.6%
50% of probability mass above
5
Journal of Vision
92 papers in training set
Top 0.1%
8.8%
6
eLife
5422 papers in training set
Top 16%
5.1%
7
Communications Biology
886 papers in training set
Top 6%
2.0%
8
Science Advances
1098 papers in training set
Top 16%
1.8%
9
Journal of The Royal Society Interface
189 papers in training set
Top 2%
1.8%
10
PLOS ONE
4510 papers in training set
Top 52%
1.8%
11
iScience
1063 papers in training set
Top 19%
1.4%
12
Advanced Science
249 papers in training set
Top 14%
1.3%
13
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 5%
1.2%
14
NeuroImage
813 papers in training set
Top 5%
1.0%
15
eneuro
389 papers in training set
Top 8%
0.9%
16
Current Biology
596 papers in training set
Top 12%
0.9%
17
Cell Reports
1338 papers in training set
Top 30%
0.9%
18
Neuroscience of Consciousness
12 papers in training set
Top 0.3%
0.8%
19
Frontiers in Neuroscience
223 papers in training set
Top 7%
0.8%
20
Physical Review E
95 papers in training set
Top 1%
0.8%
21
The Journal of Neuroscience
928 papers in training set
Top 8%
0.8%
22
Journal of Neuroscience Methods
106 papers in training set
Top 2%
0.7%
23
Biophysical Journal
545 papers in training set
Top 6%
0.7%
24
Scientific Data
174 papers in training set
Top 3%
0.7%
25
Biomedical Optics Express
84 papers in training set
Top 1%
0.5%