Extending Vision With Extended Reality
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Authors
Zaman, Nasif
Issue Date
2024
Type
Dissertation
Language
Keywords
Augmented Reality , Diagnostics , Rehabilitation , Telemedicine , Virtual Reality , Visual Assessment
Alternative Title
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 fidelity. 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.
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License
Creative Commons Attribution 4.0 International