View-Dependent Streamline Deformation and Exploration

Tong, Xin; Edwards, John; Chen, Chun-Ming; Shen, Han-Wei; Johnson, Chris R.; Wong, Pak Chung

doi:10.1109/tvcg.2015.2502583

View-Dependent Streamline Deformation and Exploration

Journal Article · Fri Nov 20 00:00:00 EST 2015 · IEEE Transactions on Visualization and Computer Graphics

DOI:https://doi.org/10.1109/tvcg.2015.2502583· OSTI ID:1306756

Tong, Xin ^[1]; Edwards, John ^[2]; Chen, Chun-Ming ^[1]; Shen, Han-Wei ^[1]; Johnson, Chris R. ^[2]; Wong, Pak Chung ^[3]

The Ohio State University, Columbus, OH (United States)
University of Utah, Salt Lake City, UT (United States)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Occlusion presents a major challenge in visualizing 3D flow and tensor fields using streamlines. Displaying too many streamlines creates a dense visualization filled with occluded structures, but displaying too few streams risks losing important features. We propose a new streamline exploration approach by visually manipulating the cluttered streamlines by pulling visible layers apart and revealing the hidden structures underneath. Here this paper presents a customized view-dependent deformation algorithm and an interactive visualization tool to minimize visual cluttering for visualizing 3D vector and tensor fields. The algorithm is able to maintain the overall integrity of the fields and expose previously hidden structures. Our system supports both mouse and direct-touch interactions to manipulate the viewing perspectives and visualize the streamlines in depth. By using a lens metaphor of different shapes to select the transition zone of the targeted area interactively, the users can move their focus and examine the vector or tensor field freely.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: National Institutes of Health (NIH); National Science Foundation (NSF); USDOE Office of Science (SC)

Grant/Contract Number:: AC05-76RL01830; SC0007444

OSTI ID:: 1306756

Report Number(s):: PNNL-SA--111244; KJ0402000

Journal Information:: IEEE Transactions on Visualization and Computer Graphics, Journal Name: IEEE Transactions on Visualization and Computer Graphics Journal Issue: 7 Vol. 22; ISSN 1077-2626

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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