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Immersive ParaView: An Immersive Scientific Workflow for the Advancement of Measurement Science

Published

Author(s)

Simon Su, William Sherman, Israel Lopez Coto, Kamran Sayrafian, Judith E. Terrill

Abstract

We present ongoing work in enhancing ParaView with new immersive visualization capabilities and demonstrate its use in the development of our scientific workflow in support of visual analytics in an immersive environment to advance measurement science. Two case-studies of complex meteorology and radio-frequency (RF) data as part of the knowledge discovery process reveal the benefits of interactively exploring the three-dimensional data with immersive technologies such as the CAVE and head mounted display virtual reality. By adding support of immersive technology into ParaView, researchers can more naturally investigate the data of three-dimensional simulations. These efforts to provide tools for immersive visualization are guided by the need to advance measurement science, standards, and technology. To make these tools more broadly accessible and impactful, we promote the use of software standards related to visualization and immersive systems.
Proceedings Title
21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Conference Dates
October 17-21, 2022
Conference Location
Singapore, SG
Conference Title
Visual Analytics in Immersive Environments (VAinIE) Workshop

Keywords

Visual Analytics, Immersive Visualization, Collaborative Analysis, Visualization Applications, Virtual Reality, Extended Reality

Citation

Su, S. , Sherman, W. , Lopez Coto, I. , Sayrafian, K. and Terrill, J. (2022), Immersive ParaView: An Immersive Scientific Workflow for the Advancement of Measurement Science, 21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR) , Singapore, SG, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935333 (Accessed April 19, 2024)
Created December 15, 2022, Updated January 18, 2023