Title
Rapid development of scientific virtual reality applications
Abstract
Visualizing and working with large scale scientific image data can benefit greatly from advances in consumer Virtual Reality and game development tools, but presently only limited applications have leveraged these. We present a set of techniques for mapping scientific images and data manipulation tasks into virtual reality applications with an emphasis on short development time and high quality user experience. Existing techniques often require large teams to develop applications that suffer in quality or require extensive development time. Using off the shelf Virtual Reality hardware and freely available development tools we present a set of techniques for making immersive and interactive data visualization and manipulation applications. We demonstrate these techniques with a series of Virtual Reality apps to produce high quality immersive applications in incredibly short periods of time. These applications show large datasets and extracted high level information geared towards image understanding. We illustrate that these techniques can be integrated into existing data acquisition, image processing and machine learning work flows. With these techniques we hope to encourage future development of scientific applications for emerging Virtual Reality platforms.
Year
DOI
Venue
2016
10.1109/AIPR.2016.8010589
2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Keywords
Field
DocType
image processing,machine learning work flows,data acquisition,image understanding,interactive data manipulation application,interactive data visualization application,freely available development tools,data manipulation tasks,mapping scientific images,game development tools,large scale scientific image data visualization,scientific virtual reality applications
User experience design,Data visualization,Virtual reality,Computer science,Data acquisition,Image processing,Immersion (virtual reality),Data manipulation language,Multimedia,Game development tool
Conference
ISBN
Citations 
PageRank 
978-1-5090-3285-3
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Scott Sorensen1216.17
Zachary Ladin200.34
Chandra Kambhamettu385880.83