VR 2017

2017 IEEE Virtual Reality (VR), March 18-22, 2017, Los Angeles, CA, USA

Desktop Layout

Systems and Applications
Conference Papers
Ballroom A/B, Chair: Pablo Figueroa
Enhancements to VTK Enabling Scientific Visualization in Immersive Environments
Patrick O'Leary, Sankhesh Jhaveri, Aashish Chaudhary, William Sherman, Ken Martin, David Lonie, Eric Whiting, James Money, and Sandy McKenzie
(Kitware, USA; Indiana University, USA; Idaho National Laboratory, USA)
Abstract: Modern scientific, engineering and medical computational simulations, as well as experimental and observational data sensing/measuring devices, produce enormous amounts of data. While statistical analysis is one tool that provides insight into this data, it is scientific visualization that is tactically important for scientific discovery, product design and data analysis. These benefits are impeded, however, when the scientific visualization algorithms are implemented from scratch | a time consuming and redundant process in immersive application development. This process then can greatly benefit from leveraging the state-of-the-art open-source Visualization Toolkit (VTK) and its community. Over the past two (almost three) decades, integrating VTK with a virtual reality (VR) environment has only been attempted to varying degrees of success. In this paper, we demonstrate two new approaches to simplify this amalgamation of an immersive interface with visualization rendering from VTK. In addition, we cover several enhancements to VTK that provide near real-time updates and efficient interaction. Finally, we demonstrate the combination of VTK with both Vrui and OpenVR immersive environments in example applications.


Time stamp: 2020-04-05T05:17:47+02:00