Face-based luminance matching for perceptual colormap generation

Kindlmann,; Reinhard,; Creem,

doi:10.1109/visual.2002.1183788

Cited by 63 publications

(54 citation statements)

References 15 publications

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“…Some simply take the mean value between the three different color components and some take a gamma-correction into account prior to the conversion. After comparing the different conversion algorithms, we found most consistent results for the interpolation of the color control points when ensuring the linear luminance increase in a gamma-corrected RGB space such as proposed by Kindlmann et al [17]. Hence our gray-value has been calculated as follows:…”

Section: Displaying One Channel (Univariate Data)mentioning

confidence: 89%

“…The perception of color depends on the context in which the color is used as well as on the intrinsic human perception [23]. Kindlmann et al [17] have optimized the rainbow like color map for true isoluminescence using specially designed surveys. In order to achieve this, he has choosen a medium-low value of mean brightness.…”

Section: Displaying Two Linked Channels (Multivariate Data)mentioning

confidence: 99%

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How to display data by color schemes compatible with red-green color perception deficiencies

Geissbuehler

Lasser

2013

Opt. Express

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Abstract:Visualization of data concerns most scientists. The use of color is required in order to display multidimensional information. In addition, color encoding a univariate image can improve the interpretation significantly. However up to 10% of the adult male population are affected by a red-green color perception deficiency which hampers the correct interpretation and appreciation of color encoded information. This work attempts to give guidelines on how to display a given dataset in a balanced manner. Three novel color maps are proposed providing readers with normal color perception a maximum of color contrast while being a good compromise for readers with color perception deficiencies.

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Section: Displaying One Channel (Univariate Data)mentioning

confidence: 89%

Section: Displaying Two Linked Channels (Multivariate Data)mentioning

confidence: 99%

How to display data by color schemes compatible with red-green color perception deficiencies

Geissbuehler

Lasser

2013

Opt. Express

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“…Color perception has been applied to the development of graphics [1], interfaces [20], visualizations [12,36], and image com- pression [35,39]. Of particular importance to our work are tone mapping and gaze-contingent displays.…”

Section: Related Workmentioning

confidence: 99%

Gaze-Contingent Manipulation of Color Perception

Mauderer

Flatla

Nacenta

2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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Using real time eye tracking, gaze-contingent displays can modify their content to represent depth (e.g., through additional depth cues) or to increase rendering performance (e.g., by omitting peripheral detail). However, there has been no research to date exploring how gaze-contingent displays can be leveraged for manipulating perceived color. To address this, we conducted two experiments (color matching and sorting) that manipulated peripheral background and object colors to influence the user's color perception. Findings from our color matching experiment suggest that we can use gaze-contingent simultaneous contrast to affect color appearance and that existing color appearance models might not fully predict perceived colors with gaze-contingent presentation. Through our color sorting experiment we demonstrate how gaze-contingent adjustments can be used to enhance color discrimination. Gazecontingent color holds the promise of expanding the perceived color gamut of existing display technology and enabling people to discriminate color with greater precision.

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“…Color design is an important part of visualization. Effective color maps help guide users' attention [31], convey motion [32], or improve perception of shapes [22,14]. It is not in the scope of our paper to apply any particular coloring scheme to the synthesized images, but rather to provide the means to explore the color space of volume rendered images.…”

Section: Related Workmentioning

confidence: 99%

Explorable images for visualizing volume data

Tikhonova

Correa

2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

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We present a technique which automatically converts a small number of single-view volume rendered images of the same 3D data set into a compact representation of that data set. This representation is a multi-layered image, or an explorable image, which enables interactive exploration of volume data in transfer function space without accessing the original data. We achieve this by automatically extracting layers depicted in composited images. The layers can then be recombined in different ways to simulate opacity changes and recoloring of individual features. Our results demonstrate that explorable images are especially useful when the volume data is too large for interactive exploration, takes too long to render due to the underlying mesh structure or desired shading effect, or if the original volume data is not available. Explorable images can offer real-time image-based interaction as a preview mechanism for remote visualization or visualization of large volume data on low-end hardware, within a mobile device, or a Web browser.

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Face-based luminance matching for perceptual colormap generation

Cited by 63 publications

References 15 publications

How to display data by color schemes compatible with red-green color perception deficiencies

How to display data by color schemes compatible with red-green color perception deficiencies

Gaze-Contingent Manipulation of Color Perception

Explorable images for visualizing volume data

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