Perceptual-driven approach to statically foveated head-mounted displays

A foveated display is a promising technique to realize displays offering both a large field of view (FOV) and high spatial resolution. Although several prior works have attempted to apply a foveation method to the design of a head-mounted display (HMD) system, the common method is based on a dual-resolution dynamic foveation scheme which is inevitably complex and has a high cost due to the requirements for multiple display sources, a 2D steering mechanism, and eye tracker. In this paper, a new perceptual-driven approach to the design of a statically foveated HMD is proposed with the goal of offering a wide FOV across which the degradation of the perceived image resolution is nearly imperceptible or minimal within regions of frequent eye movements. Compared to a dual-resolution discrete and dynamic foveation approach in the prior art, the static foveation approach will not only maintain resolution continuity but also eliminate the need for a scanning mechanism, multiple display sources, and an eyetracker, and therefore minimize hardware complexity. We present the general approach for creating a static foveation scheme, performance metrics for evaluating the perceived image quality, and the process of optimizing a foveation scheme to meet different requirements. Finally, we experimentally demonstrate and validate the proposed foveation scheme using a testbed system. Overall, we demonstrate a statically foveated scheme is capable of offering a display with a total 160° FOV, a constant resolution of 0.5 or 1 arcminutes per pixel within the ±10° region where frequent eye movements occur, an adequate resolution no less than 45% of peak resolution within the parafovea region of ±30°, and a data sampling efficiency as high as 90%. © 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu