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Coverage-Based Opacity Estimation for Interactive Depth of Field in Molecular Visualization
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Scientific Visualization Group)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Interactive Visualization Group)ORCID iD: 0000-0003-1511-5006
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Scientific Visualization Group)
Visual Computing Research Group, Ulm University. Germany.
2015 (English)In: IEEE Pacific Visualization Symposium (PacificVis 2015), IEEE Computer Society, 2015, 255-262 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we introduce coverage-based opacity estimation to achieve Depth of Field (DoF) effects when visualizing molecular dynamics (MD) data. The proposed algorithm is a novel object-based approach which eliminates many of the shortcomings of state-of-the-art image-based DoF algorithms. Based on observations derived from a physically-correct reference renderer, coverage-based opacity estimation exploits semi-transparency to simulate the blur inherent to DoF effects. It achieves high quality DoF effects, by augmenting each atom with a semi-transparent shell, which has a radius proportional to the distance from the focal plane of the camera. Thus, each shell represents an additional coverage area whose opacity varies radially, based on our observations derived from the results of multi-sampling DoF algorithms. By using the proposed technique, it becomes possible to generate high quality visual results, comparable to those achieved through ground-truth multi-sampling algorithms. At the same time, we obtain a significant speedup which is essential for visualizing MD data as it enables interactive rendering. In this paper, we derive the underlying theory, introduce coverage-based opacity estimation and demonstrate how it can be applied to real world MD data in order to achieve DoF effects. We further analyze the achieved results with respect to performance as well as quality and show that they are comparable to images generated with modern distributed ray tracing engines.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015. 255-262 p.
Series
IEEE Pacific Visualization Symposium, ISSN 2165-8765
Keyword [en]
molecular visualization, depth of field, opacity
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-128013DOI: 10.1109/PACIFICVIS.2015.7156385ISI: 000380542200037ISBN: 978-1-4673-6879-7 (print)OAI: oai:DiVA.org:liu-128013DiVA: diva2:928719
Conference
IEEE Pacific Visualization Symposium (PacificVis)
Funder
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research Center
Available from: 2016-05-16 Created: 2016-05-16 Last updated: 2016-09-19Bibliographically approved

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Publisher's full texthttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7156385

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Kottravel, SathishFalk, MartinSundén, Erik

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CiteExportLink to record
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Citation style
  • apa
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