Visualization of multidimensional, multivariate volume data using hardware-accelerated non-photorealistic rendering techniques

Stompel, Aleksander; Lum, Eric B.; Ma, Kwan‐Liu

doi:10.1109/pccga.2002.1167883

Cited by 20 publications

(19 citation statements)

References 41 publications

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“…x Boundary enhancement -The opacity of cells around the boundary of a feature (determined by high gradients of a scalar field) are increased to assist in distinction between features (see implementation of this technique by Stompel et al [10] in Figure 3a). Strobe silhouettes and tone shading are other methods to make a boundary stand out.…”

Section: Prior Work In Illustrative Visualization Effectsmentioning

confidence: 99%

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Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

Rattner¹,

Guillen²,

Joshi³

2012

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Photo-and physically-realistic techniques are often insufficient for visualization of simulation results, especially for three-dimensional and timevarying datasets. Substantial research efforts have been dedicated to the development of nonphoto-realistic and illustration-inspired visualization techniques for compact and intuitive presentation of such complex datasets. While these efforts have yielded valuable visualization results, a great deal of work has been reproduced in studies as individual research groups often develop purpose-built platforms. Additionally, interoperability between illustrative visualization software is limited because of specialized processing and rendering architectures employed in different studies. This report proposes a generalized framework for illustrative visualization and implements it in MarmotViz, a ParaView plug-in, enabling its use on a variety of computing platforms with various data file formats and mesh geometries. This report gives detailed descriptions of the region-of-interest identification and feature-tracking algorithms incorporated into this tool. Implementations of multiple illustrative effect algorithms are presented to demonstrate the use and flexibility of this framework. By providing a framework and useful underlying functionality, the MarmotViz tool can act as a springboard for future research in the field of illustrative visualization.

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Section: Prior Work In Illustrative Visualization Effectsmentioning

confidence: 99%

“…Stompel et al [10] presented a number of illustrative feature enhancement techniques for both surface and volume rendering paradigms, including:…”

Section: Prior Work In Illustrative Visualization Effectsmentioning

confidence: 99%

Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

Rattner¹,

Guillen²,

Joshi³

2012

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“…Most techniques of displaying multivariate data involve combining noticeably different textures, color, and glyphs into a single visualization. Stompel et al [25] use non-photorealistic techniques to help users decipher multivariate computational fluid dynamics and time-varying data. They note that most scientific visualization is by definition non-photorealistic in that variables like pressure, electron density, and temperature offer no photographic model.…”

Section: Multifield Visualizationmentioning

confidence: 99%

Distribution-Driven Visualization of Volume Data

Johnson

Huang

2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-Feature detection and display are the essential goals of the visualization process. Most visualization software achieves these goals by mapping properties of sampled intensity values and their derivatives to color and opacity. In this work, we propose to explicitly study the local frequency distribution of intensity values in broader neighborhoods centered around each voxel. We have found frequency distributions to contain meaningful and quantitative information that is relevant for many kinds of feature queries. Our approach allows users to enter predicate-based hypotheses about relational patterns in local distributions and render visualizations that show how neighborhoods match the predicates. Distributions are a familiar concept to non-expert users, and we have built a simple graphical user interface for forming and testing queries interactively. The query framework readily applies to arbitrary spatial datasets and supports queries on time variant and multifield data. Users can directly query for classes of features previously inaccessible in general feature detection tools. Using several well-known datasets, we show new quantitative features that enhance our understanding of familiar visualization results.

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“…[Lu et al 2002] uses pen-and-ink stippling, placing and sizing stipples to control both local and global tone. [Rheingans and Ebert 2001;Stompel et al 2002] use artistic techniques like silhouetting and outline sketches to enhance volume visualizations.…”

Section: Nonphotorealistic Visualizationmentioning

confidence: 99%

Engaging viewers through nonphotorealistic visualizations

Tateosian

Healey

Enns

2007

Proceedings of the 5th International Symposium on Non-Photorealistic Animation and Rendering

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Research in human visual cognition suggests that beautiful images can engage the visual system, encouraging it to linger in certain locations in an image and absorb subtle details. By developing aesthetically pleasing visualizations of data, we aim to engage viewers and promote prolonged inspection, which can lead to new discoveries within the data. We present three new visualization techniques that apply painterly rendering styles to vary interpretational complexity (IC), indication and detail (ID), and visual complexity (VC), image properties that are important to aesthetics. Knowledge of human visual perception and psychophysical models of aesthetics provide the theoretical basis for our designs. Computational geometry and nonphotorealistic algorithms are used to preprocess the data and render the visualizations. We demonstrate the techniques with visualizations of real weather and supernova data.

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Visualization of multidimensional, multivariate volume data using hardware-accelerated non-photorealistic rendering techniques

Cited by 20 publications

References 41 publications

Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

Distribution-Driven Visualization of Volume Data

Engaging viewers through nonphotorealistic visualizations

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