Abstract
Validation and exploration of the data generated by large-scale scientific simulations rely on sophisticated visualization and analysis tasks. With the advancement of supercomputing, the growing scale and complexity of the data make some of these tasks challenging, which demands new hardware and software solutions. We believe it is possible to address some of the challenges by utilizing the increasingly affordable see-through head mounted display (H-MD) devices together with a low-cost tiled HDTV display. With the tiled display to provide a high-resolution overview of the data, the user can freely choose a small area to explore and analyze using a see-through HMD in stereoscopic 3D with gesture input. During such local exploration and detail data analysis, the user can apply a newly derived visualization parameter setting to the large tiled display for a new overview. In this way, computational costs become more manageable because realtime rendering and response are only required to cover a small screen space and a subset of the data. In our current study, we focus on supporting immersive isosurface and streamline visualization and analysis of 3D flow field data. In this workshop paper, we present our preliminary design and results, and we also discuss our further development and evaluation plan.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 Workshop on Immersive Analytics, IA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509008346 |
| DOIs | |
| State | Published - May 19 2017 |
| Event | 2016 Workshop on Immersive Analytics, IA 2016 - Greenville, United States Duration: Mar 20 2016 → … |
Other
| Other | 2016 Workshop on Immersive Analytics, IA 2016 |
|---|---|
| Country | United States |
| City | Greenville |
| Period | 3/20/16 → … |
Fingerprint
Keywords
- Augmented and Virtual Realities
- H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial
- H.5.2 [Information Interfaces and Presentation]: User Interfaces-Input Devices and Strategies
- Interaction Styles
ASJC Scopus subject areas
- Computer Science Applications
- Human-Computer Interaction
- Media Technology
Cite this
Enabling interactive scientific data visualization and analysis with see-through hmds and a large tiled display. / Nagao, Ken; Ye, Yucong; Wang, Chuan; Fujishiro, Issei; Ma, Kwan-Liu.
2016 Workshop on Immersive Analytics, IA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 7932374.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Enabling interactive scientific data visualization and analysis with see-through hmds and a large tiled display
AU - Nagao, Ken
AU - Ye, Yucong
AU - Wang, Chuan
AU - Fujishiro, Issei
AU - Ma, Kwan-Liu
PY - 2017/5/19
Y1 - 2017/5/19
N2 - Validation and exploration of the data generated by large-scale scientific simulations rely on sophisticated visualization and analysis tasks. With the advancement of supercomputing, the growing scale and complexity of the data make some of these tasks challenging, which demands new hardware and software solutions. We believe it is possible to address some of the challenges by utilizing the increasingly affordable see-through head mounted display (H-MD) devices together with a low-cost tiled HDTV display. With the tiled display to provide a high-resolution overview of the data, the user can freely choose a small area to explore and analyze using a see-through HMD in stereoscopic 3D with gesture input. During such local exploration and detail data analysis, the user can apply a newly derived visualization parameter setting to the large tiled display for a new overview. In this way, computational costs become more manageable because realtime rendering and response are only required to cover a small screen space and a subset of the data. In our current study, we focus on supporting immersive isosurface and streamline visualization and analysis of 3D flow field data. In this workshop paper, we present our preliminary design and results, and we also discuss our further development and evaluation plan.
AB - Validation and exploration of the data generated by large-scale scientific simulations rely on sophisticated visualization and analysis tasks. With the advancement of supercomputing, the growing scale and complexity of the data make some of these tasks challenging, which demands new hardware and software solutions. We believe it is possible to address some of the challenges by utilizing the increasingly affordable see-through head mounted display (H-MD) devices together with a low-cost tiled HDTV display. With the tiled display to provide a high-resolution overview of the data, the user can freely choose a small area to explore and analyze using a see-through HMD in stereoscopic 3D with gesture input. During such local exploration and detail data analysis, the user can apply a newly derived visualization parameter setting to the large tiled display for a new overview. In this way, computational costs become more manageable because realtime rendering and response are only required to cover a small screen space and a subset of the data. In our current study, we focus on supporting immersive isosurface and streamline visualization and analysis of 3D flow field data. In this workshop paper, we present our preliminary design and results, and we also discuss our further development and evaluation plan.
KW - Augmented and Virtual Realities
KW - H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial
KW - H.5.2 [Information Interfaces and Presentation]: User Interfaces-Input Devices and Strategies
KW - Interaction Styles
UR - http://www.scopus.com/inward/record.url?scp=85025589674&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025589674&partnerID=8YFLogxK
U2 - 10.1109/IMMERSIVE.2016.7932374
DO - 10.1109/IMMERSIVE.2016.7932374
M3 - Conference contribution
AN - SCOPUS:85025589674
SP - 1
EP - 6
BT - 2016 Workshop on Immersive Analytics, IA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -