liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluating the perception of semi-transparent structures in direct volume rendering techniques
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Vetenskaplig Visualisering)ORCID iD: 0000-0002-5693-2830
Visual Computing Research Group, Ulm University.
2016 (English)In: Proceeding SA '16 SIGGRAPH ASIA 2016 Symposium on Visualization, ACM Digital Library, 2016Conference paper, (Refereed)
Abstract [en]

Direct volume rendering (DVR) provides the possibility to visualize volumetric data sets as they occur in many scientific disciplines. A key benefit of DVR is that semi-transparency can be facilitated in order to convey the complexity of the visualized data. Unfortunately, semi-transparency introduces new challenges in spatial comprehension of the visualized data, as the ambiguities inherent to semi-transparent representations affect spatial comprehension. Accordingly, many visualization techniques have been introduced to enhance the spatial comprehension of DVR images. In this paper, we conduct a user evaluation in which we compare standard DVR with five visualization techniques which have been proposed to enhance the spatial comprehension of DVR images. In our study, we investigate the perceptual performance of these techniques and compare them against each other to find out which technique is most suitable for different types of data and purposes. In order to do this, a large-scale user study was conducted with 300 participants who completed a number of micro-tasks designed such that the aggregated feedback gives us insight on how well these techniques aid the end user to perceive depth and shape of objects. Within this paper we discuss the tested techniques, present the conducted study and analyze the retrieved results.

Place, publisher, year, edition, pages
ACM Digital Library, 2016.
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-134260DOI: 10.1145/3002151.3002164ISBN: 978-1-4503-4547-7 (print)OAI: oai:DiVA.org:liu-134260DiVA: diva2:1070332
Conference
SIGGRAPH ASIA 2016 Symposium on Visualization, Macau Dec 5-8, 2016
Note

Best paper award, SIGGRAPH ASIA 2016 Symposium on Visualization

Available from: 2017-02-01 Created: 2017-02-01 Last updated: 2017-05-23Bibliographically approved

Open Access in DiVA

fulltext(4160 kB)3 downloads
File information
File name FULLTEXT02.pdfFile size 4160 kBChecksum SHA-512
5b46c471a24c05f75e5109dd09d7897b875b5a71b870bab14e69a00d69f99e14a07b255d1d95de423a30e2828eef1dab5c36c255293023189c05520f9fe0a81c
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Englund, Rickard
By organisation
Media and Information TechnologyFaculty of Science & Engineering
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 3 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf