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Mirror Stereoscopic Display for Direct 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.
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. Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-7750-1917
2014 (English)In: Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden / [ed] Mohammad Obaid; Daniel Sjölie; Erik Sintorn; Morten Fjeld, Linköping University Electronic Press, 2014, 75-82 p.Conference paper, Published paper (Refereed)
Abstract [en]

A new mirror stereoscopic display for Direct Volume Rendering (DVR) is presented. The stereoscopic display system is composed of one monitor and one acrylic first surface mirror. The mirror reflects one image for one of the eyes. The geometrical transformations to compute correctly the stereo pair is presented and is the core of this paper. System considerations such as mirror placement and implications are also discussed.

In contrast to other similar solutions, we do not use two monitors, but just one. Consequently one of the images needs to be skewed. Advantages of the system include absence of ghosting and of flickering.

We also developed the rendering engine for DVR of volumetric datasets mostly for medical imaging visualization. The skewing process in this case is integrated into the ray casting of DVR. Using geometrical transformations, we can compute precisely the directions of the rays, producing accurate stereo pairs.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2014. 75-82 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 (print), 1650-3740 (online) ; 106
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-107554OAI: oai:DiVA.org:liu-107554DiVA: diva2:725265
Conference
Swedish Computer Graphics Association (SIGRAD), Göteborg, Sweden June 12-13, 2014
Available from: 2014-06-16 Created: 2014-06-16 Last updated: 2016-09-15Bibliographically approved

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Maria Marreiros, Filipe MiguelSmedby, Örjan
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Center for Medical Image Science and Visualization (CMIV)Media and Information TechnologyThe Institute of TechnologyDivision of Radiological SciencesFaculty of Health SciencesDepartment of Radiology in Linköping
Computer Vision and Robotics (Autonomous Systems)

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