Immersive Visualization / IQ-Station Wiki
This site hosts information on virtual reality systems that are geared toward scientific visualization, and as such often toward VR on Linux-based systems. Thus, pages here cover various software (and sometimes hardware) technologies that enable virtual reality operation on Linux.
The original IQ-station effort was to create low-cost (for the time) VR systems making use of 3DTV displays to produce CAVE/Fishtank-style VR displays. That effort pre-dated the rise of the consumer HMD VR systems, however, the realm of midrange-cost large-fishtank systems is still important, and has transitioned from 3DTV-based systems to short-throw projectors.
File list
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This special page shows all uploaded files.
| Date | Name | Thumbnail | Size | User | Description | Versions |
|---|---|---|---|---|---|---|
| 17:22, 7 November 2014 | BC UALR 3789m.jpg (file) |  |
331 KB | WSherman | Jason demonstrating Unity on the Oculus Rift DK-2 | 1 |
| 20:18, 6 November 2014 | BC UALR 3858m.jpg (file) |  |
331 KB | WSherman | Nikhil presenting his work at the University of Wyoming | 1 |
| 17:18, 7 November 2014 | BC UALR 3787m.jpg (file) |  |
347 KB | WSherman | Demonstrations of Immersive ParaView and Unity on the Oculus Rift DK-2 | 1 |
| 17:41, 7 November 2014 | BC UALR 3811m.jpg (file) |  |
351 KB | WSherman | Some participants at the Tokyo House | 1 |
| 20:12, 6 November 2014 | BC UALR 3825m.jpg (file) |  |
352 KB | WSherman | Carolina conversing with Eric via DoubleRobotics iPad | 1 |
| 14:10, 15 April 2013 | BC IUPUI 6734m.jpg (file) |  |
358 KB | WSherman | Tuesday dinner at the Creation Cafe at the IUPUI Immersive Visualization Bootcamp | 1 |
| 20:21, 6 November 2014 | BC UALR 3770m.jpg (file) |  |
365 KB | WSherman | Bootcamp participants viewing a human anatomy demonstration presented by Carolina and Yassine | 1 |
| 11:36, 15 April 2013 | BC IUPUI 6634m.jpg (file) |  |
392 KB | WSherman | Participant introductions | 1 |
| 17:42, 7 November 2014 | BC UALR 3806m.jpg (file) |  |
416 KB | WSherman | Thursday dinner at Tokyo House (all you can eat Sushi and more) | 1 |
| 17:30, 7 November 2014 | BC UALR 3800m.jpg (file) |  |
421 KB | WSherman | Tom trying the tablet interface to Immersive ParaView | 1 |
| 15:02, 19 April 2013 | BC IUPUI scans.jpg (file) |  |
654 KB | WSherman | 3D renderings of 3D facial scans (courtesy of UM3D Lab) | 1 |
| 13:59, 18 April 2013 | BC IUPUI UM4104.jpg (file) |  |
658 KB | WSherman | IQ-touch running the Collection Viewer application (photo courtesy UM3D Lab) | 1 |
| 13:51, 18 April 2013 | BC IUPUI UM4085.jpg (file) |  |
706 KB | WSherman | Gigapixel image on the Display Wall (photo courtesy UM3D Lab)) | 1 |
| 13:58, 18 April 2013 | BC IUPUI UM4098.jpg (file) |  |
715 KB | WSherman | AVL IQ-station (photo courtesy UM3D Lab) | 1 |
| 14:59, 19 April 2013 | BC IUPUI UM4076.jpg (file) |  |
768 KB | WSherman | Chris Brunner exploring the IQ-tilt (courtesy UM3D Lab) | 1 |
| 13:10, 18 April 2013 | DSCN4078.JPG (file) |  |
768 KB | WSherman | Chris Brunner exploring the IQ-tilt | 1 |
| 14:01, 18 April 2013 | BC IUPUI UM4105.jpg (file) |  |
775 KB | WSherman | 3D facial scanner & IQ-touch (photo courtesy UM3D Lab) | 1 |
| 13:56, 18 April 2013 | BC IUPUI UM4094.jpg (file) |  |
789 KB | WSherman | VMD 4-channel auqaporin visualization (photo courtesy UM3D Lab) | 1 |
| 13:50, 18 April 2013 | BC IUPUI UM4083.jpg (file) |  |
813 KB | WSherman | Watching a 3D movie (courtesy UM3D Lab) | 1 |
| 13:53, 18 April 2013 | BC IUPUI UM4090.jpg (file) |  |
824 KB | WSherman | VMD Presentation (photo courtesy UM3D Lab) | 1 |
| 14:52, 15 February 2024 | Mayo red.png (file) |  |
955 KB | WSherman | The Mayo Clinic Skin dataset, red-channel only, one 16th of the data at full resolution. Rendering using "hayStack" with the "Barney" library. | 1 |
| 15:51, 22 February 2024 | Skin RGB v1.png (file) |  |
1.55 MB | WSherman | Barney/HayStack output of Skin dataset using new 4-channel rendering (view 1) | 1 |
| 15:53, 22 February 2024 | Skin RGB v2.png (file) |  |
2.17 MB | WSherman | Barney/HayStack output of Skin dataset using new 4-channel rendering (view 2) | 1 |
