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dc.contributor.authorEngel, Jurien_US
dc.contributor.authorSemmo, Amiren_US
dc.contributor.authorTrapp, Matthiasen_US
dc.contributor.authorDöllner, Jürgenen_US
dc.contributor.editorMichael Bronstein and Jean Favre and Kai Hormannen_US
dc.date.accessioned2014-02-01T16:26:00Z
dc.date.available2014-02-01T16:26:00Z
dc.date.issued2013en_US
dc.identifier.isbn978-3-905674-51-4en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE.VMV.VMV13.025-032en_US
dc.description.abstractUsing colors for thematic mapping is a fundamental approach in visualization, and has become essential for 3D virtual environments to effectively communicate multidimensional, thematic information. Preserving depth cues within these environments to emphasize spatial relations between geospatial features remains an important issue. A variety of rendering techniques have been developed to preserve depth cues in 3D information visualization, including shading, global illumination, and image stylization. However, these techniques alter color values, which may lead to ambiguity in a color mapping and loss of information. Depending on the applied rendering techniques and color mapping, this loss should be reduced while still preserving depth cues when communicating thematic information. This paper presents the results of a quantitative and qualitative user study that evaluates the impact of rendering techniques on information and spatial perception when using visualization of thematic data in 3D virtual environments. We report the results of this study with respect to four perception-related tasks, showing significant differences in error rate and task completion time for different rendering techniques and color mappings.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputer Graphics [I.3.3]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectDisplay Algorithmsen_US
dc.titleEvaluating the Perceptual Impact of Rendering Techniques on Thematic Color Mappings in 3D Virtual Environmentsen_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US


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  • VMV13
    ISBN 978-3-905674-51-4

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