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Uncertainty visualization using HDR volume rendering

Vijeth Dinesha, Neeharika Adabala, Vijay Natarajan
2011 The Visual Computer  
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]

Mahsa Mirzargar, Yanyan He, Robert M. Kirby
2015 Lecture Notes in Computer Science  
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

Christoph Heinzl, Stefan Bruckner, Eduard Gröller
2014 Computers & graphics  
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]

Tushar Athawale, Bo Ma, Elham Sakhaee, Chris R. Johnson, Alireza Entezari
2020 arXiv   pre-print
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

Kai Pothkow, Hans-Christian Hege
2011 IEEE Transactions on Visualization and Computer Graphics  
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

Mathias Otto, Tobias Germer, Holger Theisel
2011 2011 IEEE Pacific Visualization Symposium  
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

Tobias Pfaffelmoser, Mihaela Mihai, Rudiger Westermann
2013 IEEE Transactions on Visualization and Computer Graphics  
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

Mathias Otto, Tobias Germer, Holger Theisel
2013 Proceedings of the 27th Spring Conference on Computer Graphics - SCCG '11  
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

Alexandre Coninx, Georges-Pierre Bonneau, Jacques Droulez, Guillaume Thibault
2011 Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization - APGV '11  
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

Tobias Pfaffelmoser, Rüdiger Westermann
2012 Computer graphics forum (Print)  
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

David Günther, Joseph Salmon, Julien Tierny
2014 Computer graphics forum (Print)  
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]

Ken Brodlie, Rodolfo Allendes Osorio, Adriano Lopes
2012 Expanding the Frontiers of Visual Analytics and Visualization  
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

Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen
2018 Entropy  
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]

Kristin Potter, Paul Rosen, Chris R. Johnson
2012 IFIP Advances in Information and Communication Technology  
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]

Steven Schlegel, Mathias Goldau, Gerik Scheuermann
2015 International Symposium on Vision, Modeling, and Visualization  
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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