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Extending Vision with Extended Reality
Date
2024Type
DissertationDepartment
Computer Science
Degree Level
Doctorate Degree
Abstract
Extended Reality (XR) head-mounted displays (HMD) are equipped with a camera system and a dichoptic display system. The sensory data captured by the camera system is not an accurate representation of the reality. Furthermore, the video-pass through to the HMD has compromised fideliy. In this body of work we describe the observer's vision by (a) quantifying their visual function into camera parameters in the Visual Function Testing framework and (b) simulating their functional visual capability on normal subjects by using those camera parameters on a virtual camera in the Functional Vision Testing framework. A direct by-product of such an approach is an XR countermeasure that can compensate perceptual loss brought on by these impairments by performing inverse mathematical operations on the camera input (c) in the Vision Rehabilitation Testing framework. This research tests and identifies improvements in XR systems in terms of rendering latency, simulation accuracy, objective modeling and display calibration to expand the functional capabilities of people with perceptual loss.
Permanent link
http://hdl.handle.net/11714/11132Additional Information
Committee Member | Folmer, Eelke; Harris, Frederick; Louis, Sushil; Webster, Michael |
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Rights | Creative Commons Attribution 4.0 United States |
Rights Holder | Author(s) |