Abstract
In AR applications, there may be situations in which the visual target is not clearly visible/legible because it is too far or small. The unclear part of the imagery can be captured and magnified, but the image quality can still be problematic with the aliasing artifacts by the limited resolution. This poster proposes to apply deep learning based upscaling to enhance the low-resolution images. We developed a prototype system that can capture an image and upscale/present it to the user. The pilot study demonstrated that upscaled imagery improved image clarity, the ability to find hidden information more quickly, and user experience.
Original language | English |
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Title of host publication | Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 683-684 |
Number of pages | 2 |
ISBN (Electronic) | 9798350374490 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 - Orlando, United States Duration: 2024 Mar 16 → 2024 Mar 21 |
Publication series
Name | Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 |
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Conference
Conference | 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 |
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Country/Territory | United States |
City | Orlando |
Period | 24/3/16 → 24/3/21 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Augmented Reality
- Human-computer interaction
- Super-resolution
ASJC Scopus subject areas
- Human-Computer Interaction
- Media Technology
- Modelling and Simulation