1. [Publications](/publications) 2. Matching Prescription & Visual Acuity: Towards AR for Humans # Matching Prescription & Visual Acuity: Towards AR for Humans ![](/sites/default/files/styles/wide/public/publications/Teasor_image_0.JPG?itok=PI4OcR1A) Inspired by human visual perception, we demonstrate two novel wearable augmented reality displays. The first "Prescription AR" integrates prescription correction in a 5mm-thick image combiner. The static prototype is 50g and eyeglasses form factor. The second "Foveated AR" adapts to user gaze by adjusting the resolution and focal depth. ## Authors [Jonghyun Kim](/person/jonghyun-kim) [Michael Stengel](/person/michael-stengel) Jui-Yi Wu (NVIDIA, National Chiao Tung University) [Ben Boudaoud](/person/ben-boudaoud) [Josef Spjut](/person/josef-spjut) Kaan Akşit (NVIDIA) Rachel Albert (NVIDIA) Youngmo Jeong (NVIDIA, Seoul National University) [Trey Greer](/person/trey-greer) [Ward Lopes](/person/ward-lopes) Zander Majercik (NVIDIA) Peter Shirley (NVIDIA) Morgan McGuire (NVIDIA) [David Luebke](/person/david-luebke) ## Publication Date Sunday, July 28, 2019 ## Published in SIGGRAPH 2019 Emerging Technology ## Research Area [Computational Photography and Imaging](/research-area/computational-photography-imaging) [Computer Graphics](/research-area/computer-graphics) [Human Computer Interaction](/research-area/human-computer-interaction) [VR, AR and Display Technology](/research-area/virtual-augmented-reality) ## External Links [Submission Video](https://youtu.be/4JnO6X0PQ4E) ## Uploaded Files [2019\_Etech\_submission (15).pdf](https://research.nvidia.com/sites/default/files/pubs/2019-07_Matching-Prescription-%26//2019_Etech_submission%20%2815%29.pdf "Open file in new window")21.6 MB ## Award Best in Show Award - Emerging Technology in SIGGRAPH 2019 ## 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 .