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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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2021-02, Vol.27 (2), p.1797-1807
Hauptverfasser:	Athawale, Tushar M., Ma, Bo, Sakhaee, Elham, Johnson, Chris R., Entezari, Alireza
Format:	Artikel
Sprache:	eng
Schlagworte:	2D transfer function Bivariate analysis Computer Science Data visualization Digital video recorders Ground truth Interpolation nonparametric Nonparametric statistics Pipelines Probability density function Rendering Rendering (computer graphics) Scalars Statistical analysis Statistical models Transfer functions Two dimensional displays Uncertainty Volumes
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