@conference {654,
	title = {Interactive GPU-based Visualization of Scalar Data with Gaussian Distributed Uncertainty},
	booktitle = {Vision, Modeling, and Visualization},
	year = {2015},
	address = {Aachen},
	abstract = {We present a GPU-based approach to visualize samples of normally distributed uncertain, three-dimensional
scalar data. Our approach uses a mathematically sound interpolation scheme, i.e., Gaussian process regression.
The focus of this work is to demonstrate, that GP-regression can be used for interpolation in practice, despite
the high computational costs. The potential of our method is demonstrated by an interactive volume rendering of
three-dimensional data, where the gradient estimation is directly computed by the field function without the need
of additional sample points of the underlying data. We illustrate our method using three-dimensional data sets of
the medical research domain.},
	author = {Steven Schlegel and Mathias Goldau and Gerik Scheuermann}
}
