Enabling interactive scientific data visualization and analysis with see-through hmds and a large tiled display

Ken Nagao, Yucong Ye, Chuan Wang, Issei Fujishiro, Kwan Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publication2016 Workshop on Immersive Analytics, IA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509008346
DOIs
Publication statusPublished - 2017 May 19
Event2016 Workshop on Immersive Analytics, IA 2016 - Greenville, United States
Duration: 2016 Mar 20 → …

Other

Other2016 Workshop on Immersive Analytics, IA 2016
CountryUnited States
CityGreenville
Period16/3/20 → …

    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

Nagao, K., Ye, Y., Wang, C., Fujishiro, I., & Ma, K. L. (2017). Enabling interactive scientific data visualization and analysis with see-through hmds and a large tiled display. In 2016 Workshop on Immersive Analytics, IA 2016 (pp. 1-6). [7932374] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMMERSIVE.2016.7932374