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Cited by 52

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Variations in normal color vision I. Cone-opponent axes

Webster, Michael A., Miyahara, Eriko, Malkoc, Gokhan, Raker, Vincent E.·2000·Journal of the Optical Society of America A
DOI 10.1364/josaa.17.001535
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Abstract

Early postreceptoral color vision is thought to be organized in terms of two principal axes corresponding to opposing L- and M-cone signals (LvsM) or to S-cone signals opposed by a combination of L- and M-cone signals (SvsLM). These cone-opponent axes are now widely used in studies of color vision, but in most cases the corresponding stimulus variations are defined only theoretically, based on a standard observer. We examined the range and implications of interobserver variations in the cone-opponent axes. We used chromatic adaptation to empirically define the LvsM and SvsLM axes and used both thresholds and color contrast adaptation to determine sensitivity to the axes. We also examined the axis variations implied by individual differences in the color matching data of Stiles and Burch [Opt. Acta 6, 1 (1959)]. The axes estimated for individuals can differ measurably from the nominal standard-observer axes and can influence the interpretation of postreceptoral color organization (e.g., regarding interactions between the two axes). Thus, like luminance sensitivity, individual differences in chromatic sensitivity may be important to consider in studies of the cone-opponent axes.

Overview

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Crossref · 10.1364/josaa.17.001535

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35 of 35 references verified0 citation errors · 0 not checkable

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Citations

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Metadata

Authors
Webster, M. A., Miyahara, E., Malkoc, G., & Raker, V. E.
Venue
Journal of the Optical Society of America A
Publisher
Optica Publishing Group
Published
2000-09-01
Volume
17
Issue
9
Pages
1535
ISSN
  • 1084-7529
  • 1520-8532
DOI
10.1364/josaa.17.001535
Cited by
52
References
35
Language
en
Licence

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.