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dc.contributor.authorCsébfalvi, Balázsen_US
dc.contributor.authorTóth, Balázsen_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.editorMichael Goesele and Thorsten Grosch and Holger Theisel and Klaus Toennies and Bernhard Preimen_US
dc.date.accessioned2013-11-08T10:35:33Z
dc.date.available2013-11-08T10:35:33Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905673-95-1en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/VMV/VMV12/103-109en_US
dc.description.abstractUsing classical volume visualization, typically a couple of isosurface layers are rendered semi-transparently to show the internal structures contained in the data. However, the opacity transfer function is often difficult to specify such that all the isosurfaces are of high contrast and sufficiently perceivable. In this paper, we propose a volumerendering technique which ensures that the different layers contribute to fairly different regions of the image space. Since the overlapping between the effected regions is reduced, an outer translucent isosurface does not decrease significantly the contrast of a partially hidden inner isosurface. Therefore, the layers of the data become visually well separated. Traditional transfer functions assign color and opacity values to the voxels depending on the density and the gradient. In contrast, we assign also different illumination directions to different materials, and modulate the opacities view-dependently based on the surface normals and the directions of the light sources, which are fixed to the viewing angle. We will demonstrate that this model allows an expressive visualization of volumetric data.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectColoren_US
dc.subjectshadingen_US
dc.subjectshadowingen_US
dc.subjecttexture.en_US
dc.titleIllumination-Driven Opacity Modulation for Expressive Volume Renderingen_US
dc.description.seriesinformationVision, Modeling and Visualizationen_US


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  • VMV12
    ISBN 978-3-905673-95-1

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