Article

Face-based luminance matching for perceptual colormap generation

Authors:

Gordon Kindlmann,

Sarah CreemAuthors Info & Claims

VIS '02: Proceedings of the conference on Visualization '02

Pages 299 - 306

Published: 27 October 2002 Publication History

Abstract

Most systems used for creating and displaying colormap-based visualizations are not photometrically calibrated. That is, the relationship between RGB input levels and perceived luminance is usually not known, due to variations in the monitor, hardware configuration, and the viewing environment. However, the luminance component of perceptually based colormaps should be controlled, due to the central role that luminance plays in our visual processing. We address this problem with a simple and effective method for performing luminance matching on an uncalibrated monitor. The method is akin to the minimally distinct border technique (a previous method of luminance matching used for measuring luminous efficiency), but our method relies on the brain's highly developed ability to distinguish human faces. We present a user study showing that our method produces equivalent results to the minimally distinct border technique, but with significantly improved precision. We demonstrate how results from our luminance matching method can be directly applied to create new univariate colormaps.

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Cited By

Zhou LNetzel RWeiskopf DJohnson C(2019)Spectral Visualization SharpeningACM Symposium on Applied Perception 201910.1145/3343036.3343133(1-9)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1145/3343036.3343133
Zhou LWeiskopf DKerren AKlein KLi Y(2018)Contrast Enhancement Based on Viewing DistanceProceedings of the 11th International Symposium on Visual Information Communication and Interaction10.1145/3231622.3231628(25-32)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1145/3231622.3231628
Liu YHeer JMandryk RHancock MPerry MCox A(2018)Somewhere Over the RainbowProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174172(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3174172
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Index Terms

Face-based luminance matching for perceptual colormap generation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
        Image representations
  2. Computer graphics

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Information & Contributors

Information

Published In

cover image ACM Conferences

VIS '02: Proceedings of the conference on Visualization '02

October 2002

583 pages

ISBN:0780374983

Conference Chairs:
Hanspeter Pfister
Mitsubishi Electric Research Laboratories
,
Mike Bailey
San Diego Supercomputer Center
,
Program Chairs:
J. Edward Swan
The Naval Research Laboratory
,
Jim Thomas
Pacific Northwest National Laboratory

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ITCVG: IEEE Computer Society Technical Committee on Visualization and Graphics

Publisher

IEEE Computer Society

United States

Publication History

Published: 27 October 2002

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VIS02: IEEE Visualization 2002

October 27 - November 1, 2002

Massachusetts, Boston

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Cited By

Zhou LNetzel RWeiskopf DJohnson C(2019)Spectral Visualization SharpeningACM Symposium on Applied Perception 201910.1145/3343036.3343133(1-9)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1145/3343036.3343133
Zhou LWeiskopf DKerren AKlein KLi Y(2018)Contrast Enhancement Based on Viewing DistanceProceedings of the 11th International Symposium on Visual Information Communication and Interaction10.1145/3231622.3231628(25-32)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1145/3231622.3231628
Liu YHeer JMandryk RHancock MPerry MCox A(2018)Somewhere Over the RainbowProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174172(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3174172
Reda KNalawade PAnsah-Koi KMandryk RHancock MPerry MCox A(2018)Graphical Perception of Continuous Quantitative MapsProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173846(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173846
Manteau CNacenta MMauderer MEisemann EBateman S(2017)Reading Small Scalar Data Fields: Color Scales vs. Detail on Demand vs. FatFontsProceedings of the 43rd Graphics Interface Conference10.5555/3141475.3141487(50-56)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.5555/3141475.3141487
Nagoor OBorgo RJones MWan TVidal F(2017)Data painterProceedings of the Conference on Computer Graphics & Visual Computing10.2312/cgvc.20171280(69-76)Online publication date: 14-Sep-2017
https://dl.acm.org/doi/10.2312/cgvc.20171280
Waldin NBernhard MRautek PViola ISpagnuolo MĎurikovič R(2016)Individualization of 2D color maps for people with color vision deficienciesProceedings of the 32nd Spring Conference on Computer Graphics10.1145/2948628.2948643(49-50)Online publication date: 27-Apr-2016
https://dl.acm.org/doi/10.1145/2948628.2948643
Mauderer MFlatla DNacenta MKaye JDruin ALampe CMorris DHourcade J(2016)Gaze-Contingent Manipulation of Color PerceptionProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858320(5191-5202)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858320
Waldin NBernhard MRautek PViola I(2016)Personalized 2D color mapsComputers and Graphics10.1016/j.cag.2016.06.00459:C(143-150)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.cag.2016.06.004
Yoo MLee ILee S(2015)Color Sequence Preserving DecolorizationComputer Graphics Forum10.1111/cgf.1256734:2(373-383)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1111/cgf.12567
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