For R&D professionals looking for ways to elevate the visual communication and comprehension of their work in 3D, Kitware, Inc. and Looking Glass Factory have integrated the immersive holographic displays with the open-source, multi-platform data analysis and visualization application ParaView.
With ParaView, researchers studying complex 3D fields like computational fluid dynamics, climate science, aerodynamic design, and materials science can now visualize and analyze their complex 3D data holographically as they work.
Airflow driving by heated spinning disk
This dataset is a simulation of airflow driving by a heated spinning disk. Streamlines trace out the airflow in the data. Cone glyphs show the direction of airflow. Glyphs and the bounding surface (cut away to provide context) are both colored by temperature.
Data provided courtesy of Sandia National Laboratories.
Impact of asteroid in the ocean
This is a subset of data from the Deep Water Impact Ensemble Dataset simulating the impact of an asteroid in deep ocean water. NASA's Planetary Defence Coordination Office is keenly interested in knowing the lower size limit of dangerous asteroids.
Data provided courtesy of Los Alamos National Lab: John Patchett and Galen Gisler. Deep Water Impact Ensemble Data Set. Los Alamos National Laboratory tech report LA-UR-17-21595. February 14, 2017.
Loading the Data
Download and unzip the above datasets to view. To load into the Looking Glass:
In ParaView, Select File -> Load State
Browse to and select the .psvm file, and click OK
For Load State Data File Options, select Search files under specified directory and leave the Data Directory field default (the same directory as the .psvm), and click OK.
Once loaded, press the Render Active View on Looking Glass button in the Looking Glass panel
On occasion, the content may load behind or in front of the default clipping planes. Click Reset to Center of Rotation to recenter content
This reference covers all you need to navigate and control functionality specific to the Looking Glass.
We are deeply excited about supporting the science visualization community in viewing their data in 3D on our displays. Please share video of the work that you do, either by tweeting @LKGGlass or emailing us at [email protected]!