Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138478
Title: Towards a switchable AR/VR near-eye display with accommodation-vergence and eyeglass prescription support
Authors: Xia, Xinxing
Guan, Yunqing
State, Andrei
Chakravarthula, Praneeth
Rathinavel, Kishore
Cham, Tat-Jen
Fuchs, Henry
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Xia, X., Guan, Y., State, A., Chakravarthula, P., Rathinavel, K., Cham, T.-J., & Fuchs, H. (2019). Towards a switchable AR/VR near-eye display with accommodation-vergence and eyeglass prescription support. IEEE Transactions on Visualization and Computer Graphics, 25(11), 3114-3124. doi:10.1109/TVCG.2019.2932238
Journal: IEEE Transactions on Visualization and Computer Graphics
Abstract: In this paper, we present our novel design for switchable AR/VR near-eye displays which can help solve the vergence-accommodation-conflict issue. The principal idea is to time-multiplex virtual imagery and real-world imagery and use a tunable lens to adjust focus for the virtual display and the see-through scene separately. With this novel design, prescription eyeglasses for near- and far-sighted users become unnecessary. This is achieved by integrating the wearer's corrective optical prescription into the tunable lens for both virtual display and see-through environment. We built a prototype based on the design, comprised of micro-display, optical systems, a tunable lens, and active shutters. The experimental results confirm that the proposed near-eye display design can switch between AR and VR and can provide correct accommodation for both.
URI: https://hdl.handle.net/10356/138478
ISSN: 1077-2626
DOI: 10.1109/TVCG.2019.2932238
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TVCG.2019.2932238.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IMI Journal Articles

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