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abstract

Steerable application-adaptive near eye displays

Published:12 August 2018Publication History

ABSTRACT

The design challenges of see-through near-eye displays can be mitigated by specializing an augmented reality device for a particular application. We present a novel optical design for augmented reality near-eye displays exploiting 3D stereolithography printing techniques to achieve similar characteristics to progressive prescription binoculars. We propose to manufacture inter-changeable optical components using 3D printing, leading to arbitrary shaped static projection screen surfaces that are adaptive to the targeted applications. We identify a computational optical design methodology to generate various optical components accordingly, leading to small compute and power demands. To this end, we introduce our augmented reality prototype with a moderate form-factor, large field of view. We have also presented that our prototype is promising high resolutions for a foveation technique using a moving lens in front of a projection system. We believe our display technique provides a gate-way to application-adaptive, easily replicable, customizable, and cost-effective near-eye display designs.

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References

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  1. Steerable application-adaptive near eye displays

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          cover image ACM Conferences
          SIGGRAPH '18: ACM SIGGRAPH 2018 Emerging Technologies
          August 2018
          48 pages
          ISBN:9781450358101
          DOI:10.1145/3214907

          Copyright © 2018 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 12 August 2018

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          Overall Acceptance Rate1,822of8,601submissions,21%

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