Direct Volume Rendering with Nonparametric Models of Uncertainty
We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art statistical DVR framework allows for preserving the transfer function (TF) of the ground truth function when visualizing uncer...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1998. - 27(2021), 2 vom: 14. Feb., Seite 1797-1807
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| Auteur principal: |
Athawale, Tushar M
(Auteur) |
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| Autres auteurs: |
Ma, Bo,
Sakhaee, Elham,
Johnson, Chris R,
Entezari, Alireza |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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