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Uncertainty visualization using HDR volume rendering
2011
The Visual Computer
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We focus on scalar volumetric data sets where every data point is associated with scalar uncertainty. We design a transfer function that maps each data point to a color in HDR space. ...
We demonstrate the utility of our method and evaluate the results using data sets from ocean modeling. ...
Vinayachandran for providing the Bay of Bengal data set and for his inputs on the study of the ocean data. We thank Prof. Lermusiaux for sharing the MAB data set. ...
doi:10.1007/s00371-011-0614-7
fatcat:f6n4ueubx5cz3ecaujcloqakf4
Application of Uncertainty Modeling Frameworks to Uncertain Isosurface Extraction
[chapter]
2015
Lecture Notes in Computer Science
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This paper applies various uncertainty modeling frameworks, namely possibility theory, Dempster-Shafer theory and probability theory to isosurface extraction from uncertain scalar fields. ...
The applicability of the template is demonstrated using 2D simulation data in weather forecasting and computational fluid dynamics and a synthetic 3D dataset. ...
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the officialpolicies, either expressed or implied, of the Army Research Laboratory ...
doi:10.1007/978-3-319-25135-6_32
fatcat:fadxisfiebgybkm5rttjtlnwve
Guest editorial—Uncertainty and parameter space analysis in visualization
2014
Computers & graphics
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from uncertain scalar ensembles for the likelihood of the occurrence of critical points with respect to both the position and the type of the critical points. ...
The second part of the special section in this current volume 41 continues with Visualizing the stability of critical points in uncertain scalar fields by Mihai and Westermann [5], who derive measures ...
especially to the Editor in Chief Joaquim Jorge for his support when setting up this special section, to Lisa Gordon who was key to keep this process on track as well as to all the anonymous reviewers ...
doi:10.1016/j.cag.2014.03.001
fatcat:6pibtvhynrgu5jabxcl7uxpl2u
Direct Volume Rendering with Nonparametric Models of Uncertainty
[article]
2020
arXiv
pre-print
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The state-of-the-art statistical DVR framework allows for preserving the transfer function (TF) of the ground truth function when visualizing uncertain data; however, the existing framework is restricted ...
We show the applicability of our uncertainty quantification framework to ensemble, downsampled, and bivariate versions of scalar field datasets. ...
of XeLLENCE. ...
arXiv:2008.13576v1
fatcat:77o2bsd2jngj3p4lo4ed4vxkei
Positional Uncertainty of Isocontours: Condition Analysis and Probabilistic Measures
2011
IEEE Transactions on Visualization and Computer Graphics
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As input data we consider discretized uncertain scalar fields and model these as random fields. ...
Finally, we adapt interactive visualization methods to evaluate and display these measures and apply them to 2D and 3D data sets. ...
ACKNOWLEDGMENTS We thank Cornelia Auer, Andrea Kratz, and Britta Weber for comments on earlier drafts of this work. ...
doi:10.1109/tvcg.2010.247
pmid:21041883
fatcat:ahan6bgqzfghhev2jnjqkdihyu
Uncertain topology of 3D vector fields
2011
2011 IEEE Pacific Visualization Symposium
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We test our method on a number of synthetic and real data sets. ...
As part of the approach, we introduce uncertain saddle and boundary switch connectors and provide algorithms to extract them. For the visual representation, we use multiple direct volume renderings. ...
The solution has been tested on a number of 3D uncertain flow data sets. ...
doi:10.1109/pacificvis.2011.5742374
dblp:conf/apvis/OttoGT11
fatcat:pzktjglzqbgpjeqp4xve2xy6eq
Visualizing the Variability of Gradients in Uncertain 2D Scalar Fields
2013
IEEE Transactions on Visualization and Computer Graphics
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For a number of synthetic and real-world data sets, we demonstrate the use of our approach for analyzing the stability of certain features in uncertain 2D scalar fields, with respect to both local derivatives ...
In uncertain scalar fields where data values vary with a certain probability, the strength of this variability indicates the confidence in the data. ...
To validate our techniques, we apply them to visualize the gradient uncertainty in a number of data sets. ...
doi:10.1109/tvcg.2013.92
pmid:24029913
fatcat:md7lfwoefnf4ppjvzplk2hmrdi
Closed stream lines in uncertain vector fields
2013
Proceedings of the 27th Spring Conference on Computer Graphics - SCCG '11
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Abstract We present a method for the detection and visualization of closed stream lines topologically acting as sources or sinks in uncertain 2D and 3D vector fields. ...
Figure 1 : Segment of the Pacific Ocean: volume renderings of the particle distributions visualize attracting (blue) and repelling (red) structures. ...
for the ocean data set. ...
doi:10.1145/2461217.2461235
dblp:conf/sccg/OttoGT11
fatcat:wbbo5fcfvjcz7bchmryoxefg6m
Visualization of uncertain scalar data fields using color scales and perceptually adapted noise
2011
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization - APGV '11
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We present a new method to visualize uncertain scalar data fields by combining color scale visualization techniques with animated, perceptually adapted Perlin noise. ...
We demonstrate and discuss the efficiency and the benefits of our method with various settings, color maps and data sets. ...
Boucheny from EDF R&D for their insights and fruitful discussion, and the subjects of our experiments for the time and attention they dedicated us. ...
doi:10.1145/2077451.2077462
dblp:conf/apgv/ConinxBDT11
fatcat:holtikhoy5earmj55cqrxdpfni
Visualization of Global Correlation Structures in Uncertain 2D Scalar Fields
2012
Computer graphics forum (Print)
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Visualizing correlations, i.e., the tendency of uncertain data values at different spatial positions to change contrarily or according to each other, allows inferring on the possible variations of structures ...
of spatial data. ...
Acknowledgments We would like to thank the ECMWF and Thomas Bodin from the RSES at ANU Canberra for providing the data sets used in this work. ...
doi:10.1111/j.1467-8659.2012.03095.x
fatcat:enlihlltsjdi7g7kxfedsvdk6a
Mandatory Critical Points of 2D Uncertain Scalar Fields
2014
Computer graphics forum (Print)
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These trees enable a visual exploration of the common topological structure of all possible realizations of the uncertain data. ...
This paper introduces a novel, non-local characterization of critical points and their global relation in 2D uncertain scalar fields. ...
The authors are grateful to Sophie Masse for the graphical design of our demo program's user interface. ...
doi:10.1111/cgf.12359
fatcat:prk3ut6gpjd45flygi5yl5fymy
A Review of Uncertainty in Data Visualization
[chapter]
2012
Expanding the Frontiers of Visual Analytics and Visualization
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We place the work in the context of a reference model for data visualization, that sees data pass through a pipeline of processes. ...
This allows us to distinguish the visualization of uncertainty -which considers how we depict uncertainty specified with the data -and the uncertainty of visualization -which considers how much inaccuracy ...
draw uncertain contours; Rory Bingham and Keith Haines who lent us the ocean data we have used in most of our uncertainty studies; Christian Hege who gave permission for us to use Figure 8 ; Robert Moorhead ...
doi:10.1007/978-1-4471-2804-5_6
fatcat:nuv2mfr44zegpkid7onsjkxzvm
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets
2018
Entropy
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This helps the scientist to understand the effects of uncertainty on different data features. ...
Moreover, analyzing and visualizing a large collection of ensemble isocontours for a selected scalar value has its own challenges. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/e20070540
pmid:33265629
fatcat:j5mn25yymjcvffo7ewjlpdgpam
From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches
[chapter]
2012
IFIP Advances in Information and Communication Technology
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We then look at various approaches to visualizing this uncertainty by partitioning the work based on the dimensionality of the data and the dimensionality of the uncertainty. ...
The uncertainties present in data come with many diverse representations having originated from a wide variety of disciplines. ...
KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST), and the NIH Center for Integrative Biomedical Computing, 2P41 RR0112553-12. ...
doi:10.1007/978-3-642-32677-6_15
pmid:25663949
pmcid:PMC4319674
fatcat:gl67jisqgndifec6zyluad7g74
Interactive GPU-based Visualization of Scalar Data with Gaussian Distributed Uncertainty
[article]
2015
International Symposium on Vision, Modeling, and Visualization
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We present a GPU-based approach to visualize samples of normally distributed uncertain, three-dimensional scalar data. ...
We illustrate our method using three-dimensional data sets of the medical research domain. ...
Introduction In the field of scientific data visualization, data are typically given at a set of sample points on a two-or three-dimensional domain. ...
doi:10.2312/vmv.20151257
dblp:conf/vmv/SchlegelGS15
fatcat:buqgulnlfrbtfnmn5vedpwppdq
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