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Quantitative and Qualitative Analysis of the Perception of Semi-Transparent Structures in Direct Volume Rendering
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Interaktiv Visualisering)ORCID iD: 0000-0002-5693-2830
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7857-5512
2018 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 37, no 6, p. 174-187Article in journal (Refereed) Published
Abstract [en]

Abstract Direct Volume Rendering (DVR) provides the possibility to visualize volumetric data sets as they occur in many scientific disciplines. With DVR semi-transparency is facilitated to convey the complexity of the data. Unfortunately, semi-transparency introduces challenges in spatial comprehension of the data, as the ambiguities inherent to semi-transparent representations affect spatial comprehension. Accordingly, many techniques have been introduced to enhance the spatial comprehension of DVR images. In this paper, we present our findings obtained from two evaluations investigating the perception of semi-transparent structures from volume rendered images. We have conducted a user evaluation in which we have compared standard DVR with five techniques previously proposed to enhance the spatial comprehension of DVR images. In this study, we investigated the perceptual performance of these techniques and have compared them against each other in a large-scale quantitative user study with 300 participants. Each participant completed micro-tasks designed such that the aggregated feedback gives insight on how well these techniques aid the user to perceive depth and shape of objects. To further clarify the findings, we conducted a qualitative evaluation in which we interviewed three experienced visualization researchers, in order to find out if we can identify the benefits and shortcomings of the individual techniques.

Place, publisher, year, edition, pages
Wiley-Blackwell, 2018. Vol. 37, no 6, p. 174-187
Keywords [en]
scientific visualization, volume visualization, Computing methodologies → Perception; Human-centred computing → Scientific visualization
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-149551DOI: 10.1111/cgf.13320ISI: 000437272800012OAI: oai:DiVA.org:liu-149551DiVA, id: diva2:1231105
Note

Funding agencies: Excellence Center at Linkoping and Lund in Information Technology (ELLIIT); Swedish e-Science Research Centre (SeRC)

Available from: 2018-07-05 Created: 2018-07-05 Last updated: 2018-08-02

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Englund, RickardRopinski, Timo

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  • apa
  • harvard1
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