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Towards Data Centric Sampling for Volume Rendering
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (SciVis Group)
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (SciVis Group)ORCID iD: 0000-0002-5220-633X
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. (Medical Informatics)ORCID iD: 0000-0002-9091-4724
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (SciVis Group)ORCID iD: 0000-0002-9466-9826
2013 (English)In: SIGRAD 2013 / [ed] T. Ropinski and J. Unger, Linköping University Electronic Press , 2013, 55-60 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a new method for sampling the volume rendering integral in volume raycasting where samples are correlated based on transfer function content and data set values. This has two major advantages. First, visual artifacts stemming from structured noise, such as wood grain, can be reduced. Second, we will show that the volume data does not longer need to be available during the rendering phase; a surface representation is used instead, which opens up ample oppurtinities for rendering of large data. We will show that the proposed sampling method gives higher quality renderings with fewer samples when compared to regular sampling in the spatial domain.

Place, publisher, year, edition, pages
Linköping University Electronic Press , 2013. 55-60 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 (print), 1650-3740 (online)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-95674ISBN: 978-91-7519-455-4 (print)OAI: oai:DiVA.org:liu-95674DiVA: diva2:637197
Conference
SIGRAD 2013, 13-14 June 2013, Norrköping, Sweden
Projects
CADICSCMIV
Funder
Linnaeus research environment CADICS
Available from: 2013-07-16 Created: 2013-07-16 Last updated: 2015-09-23Bibliographically approved

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Lindholm, StefanJönsson, DanielKnutsson, HansYnnerman, Anders

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Lindholm, StefanJönsson, DanielKnutsson, HansYnnerman, Anders
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  • apa
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Language
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Output format
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