1. [Publications](/publications) 2. Steerable application-adaptive near eye displays # Steerable application-adaptive near eye displays ![](/sites/default/files/styles/wide/public/publications/teaser_2.png?itok=MAFfbh2C) 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. ## Authors Kishore Rathinavel (UNC) Praneeth Chakravarthula (UNC) Kaan Akşit (NVIDIA) [Josef Spjut](/person/josef-spjut) [Ben Boudaoud](/person/ben-boudaoud) Turner Whitted (NVIDIA) [David Luebke](/person/david-luebke) Henry Fuchs (UNC) ## Publication Date Sunday, August 12, 2018 ## Published in [Proceeding SIGGRAPH '18 ACM SIGGRAPH 2018 Emerging Technologies ](https://doi.org/10.1145/3214907.3214911) ## Research Area [VR, AR and Display Technology](/research-area/virtual-augmented-reality) ## External Links [Manufacturing Application-Driven Near-Eye Displays](https://kaanaksit.com/portfolio/manufacturing-application-driven-near-eye-displays/) ## Copyright Copyright by the Association for Computing Machinery, Inc. 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or . The definitive version of this paper can be found at ACM's Digital Library .