Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis

Sebastian Mittelstädt, Jürgen Bernard, Tobias Schreck, M. Steiger, Jörn Kohlhammer, Daniel Keim

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationEuroVis 2014
Publisher.
Pages91-95
ISBN (Print)978-3-905674-69-9
DOIs
Publication statusPublished - 2014
EventThe Eurographics Conference on Visualization, EuroVis - Swansea, United Kingdom
Duration: 9 Jun 201413 Jun 2014

Conference

ConferenceThe Eurographics Conference on Visualization, EuroVis
CountryUnited Kingdom
CitySwansea
Period9/06/1413/06/14

Fields of Expertise

  • Sonstiges

Cite this

Mittelstädt, S., Bernard, J., Schreck, T., Steiger, M., Kohlhammer, J., & Keim, D. (2014). Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. In EuroVis 2014 (pp. 91-95). .. https://doi.org/10.2312/eurovisshort.20141163

Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. / Mittelstädt, Sebastian; Bernard, Jürgen; Schreck, Tobias; Steiger, M.; Kohlhammer, Jörn; Keim, Daniel.

EuroVis 2014. ., 2014. p. 91-95.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Mittelstädt, S, Bernard, J, Schreck, T, Steiger, M, Kohlhammer, J & Keim, D 2014, Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. in EuroVis 2014. ., pp. 91-95, The Eurographics Conference on Visualization, EuroVis, Swansea, United Kingdom, 9/06/14. https://doi.org/10.2312/eurovisshort.20141163
Mittelstädt S, Bernard J, Schreck T, Steiger M, Kohlhammer J, Keim D. Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. In EuroVis 2014. . 2014. p. 91-95 https://doi.org/10.2312/eurovisshort.20141163
Mittelstädt, Sebastian ; Bernard, Jürgen ; Schreck, Tobias ; Steiger, M. ; Kohlhammer, Jörn ; Keim, Daniel. / Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. EuroVis 2014. ., 2014. pp. 91-95
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