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Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets
Arizona State Univ, AZ 85287 USA.
TU Kaiserslautern, Germany.
Lawrence Livermore Natl Lab, CA 94550 USA.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
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2020 (English)In: 2020 IEEE 10TH SYMPOSIUM ON LARGE DATA ANALYSIS AND VISUALIZATION (LDAV), IEEE , 2020, p. 37-41Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a framework that fully leverages the advantages of a deferred rendering approach for the interactive visualization of large-scale datasets. Geometry buffers (G-Buffers) are generated and stored in situ, and shading is performed post hoc in an interactive image-based rendering front end. This decoupled framework has two major advantages. First, the G-Buffers only need to be computed and stored once-which corresponds to the most expensive part of the rendering pipeline. Second, the stored G-Buffers can later be consumed in an image-based rendering front end that enables users to interactively adjust various visualization parameters-such as the applied color map or the strength of ambient occlusion-where suitable choices are often not known a priori. This paper demonstrates the use of Cinema Darkroom on several real-world datasets, highlighting CDs ability to effectively decouple the complexity and size of the dataset from its visualization.

Place, publisher, year, edition, pages
IEEE , 2020. p. 37-41
Series
Symposium on Large Data Analysis and Visualization, ISSN 2373-7514
Keywords [en]
Deferred Rendering; Image Databases; In Situ Visualization; Post Hoc Analysis; Image-Based Shading
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-176153DOI: 10.1109/LDAV51489.2020.00011ISI: 000649742300005ISBN: 9781728184685 (print)OAI: oai:DiVA.org:liu-176153DiVA, id: diva2:1562001
Conference
10th IEEE Symposium on Large Data Analysis and Visualization (LDAV), ELECTR NETWORK, oct 25, 2020
Note

Funding Agencies|U.S. Department of Homeland SecurityUnited States Department of Homeland Security (DHS) [2017-ST-061-QA0001, 17STQAC00001-03-03]; National Science Foundation ProgramNational Science Foundation (NSF) [1350573]; German research foundation (DFG)German Research Foundation (DFG) [IRTG 2057]; Swedish Foundation for Strategic Research (SSF)Swedish Foundation for Strategic Research [BD15-0082]; SeRC (Swedish e-Science Research Center); ELLIIT environment for strategic research in Sweden

Available from: 2021-06-08 Created: 2021-06-08 Last updated: 2021-06-08

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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