Perceptual Performance Impact of GPU-Based WARP and Anti-Aliasing for Image Generators
Abstract
In 2012 the U.S. Air Force School of Aerospace Medicine, in partnership with the Air Force Research Laboratory (AFRL) and NASA AMES, constructed the Operational Based Vision Assessment (OBVA) simulator. This 15-channel, 150-megapixel display system remains one of the highest resolution displays ever built. One of the original goals for the simulator was to implement a distortion correction system that introduces zero frame latency into the overall system. This distortion correction was achieved using a combination of Scalable Displays EasyBlend SDK and NVIDIAs Warp and Intensity adjustment API. This paper describes the results of a collaboration between USAFSAM, Scalable, and NVIDIA to evaluate NVIDIAs WARP 2.0 API, which allows for several user-selectable filtering techniques. These filters have the potential to improve the quality of the display warp and improve anti-aliasing performance without change to the low latencies already achieved. This paper provides a brief review of the different filtering techniques under investigation, as well as an assessment of their performance within a flight simulation environment. The evaluation has been conducted using psychometric methods to determine threshold performance of human observers on an operationally relevant aircraft orientation task conducted at an eye-limiting resolution (1 arcmin/lp).
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 29, 2016
- Accession Number
- AD1015429
Entities
People
- Charles Bullock
- Doug Traill
- James Gaska
- Kevin Amaratunga
- Logan Williams
- Marc Winterbottom