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Dynamic Scene Graph: Enabling Scaling, Positioning, and Navigation in the Universe
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
NYU, NY 10003 USA.
NYU, NY 10003 USA.
Amer Museum Nat Hist, NY 10024 USA.
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2017 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 36, no 3, 459-468 p.Article in journal (Refereed) Published
Abstract [en]

In this work, we address the challenge of seamlessly visualizing astronomical data exhibiting huge scale differences in distance, size, and resolution. One of the difficulties is accurate, fast, and dynamic positioning and navigation to enable scaling over orders of magnitude, far beyond the precision of floating point arithmetic. To this end we propose a method that utilizes a dynamically assigned frame of reference to provide the highest possible numerical precision for all salient objects in a scene graph. This makes it possible to smoothly navigate and interactively render, for example, surface structures on Mars and the Milky Way simultaneously. Our work is based on an analysis of tracking and quantification of the propagation of precision errors through the computer graphics pipeline using interval arithmetic. Furthermore, we identify sources of precision degradation, leading to incorrect object positions in screen-space and z-fighting. Our proposed method operates without near and far planes while maintaining high depth precision through the use of floating point depth buffers. By providing interoperability with order-independent transparency algorithms, direct volume rendering, and stereoscopy, our approach is well suited for scientific visualization. We provide the mathematical background, a thorough description of the method, and a reference implementation.

Place, publisher, year, edition, pages
WILEY , 2017. Vol. 36, no 3, 459-468 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-139628DOI: 10.1111/cgf.13202ISI: 000404881200042OAI: oai:DiVA.org:liu-139628DiVA: diva2:1133716
Conference
19th Eurographics/IEEE VGTC Conference on Visualization (EuroVis)
Note

Funding Agencies|Swedish e-Science Research Center (SeRC); NASA [NNX16AB93A]; Moore-Sloan Data Science Environment at NYU; NSF [CNS-1229185, CCF-1533564, CNS-1544753]

Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-09-08

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The full text will be freely available from 2018-07-01 14:42
Available from 2018-07-01 14:42

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Citation style
  • apa
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