Demo Data from EDBT 2026 / reviewers in the wild / expert
Austin Wilson
dblp:14/9069
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 93% Computational photography and imaging · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
augmented reality |
0.6 | 1 | 2022 | Design of a Pupil-Matched Occlusion-Capable Optical See-Through Wearable Display · IEEE Trans. Vis. Comput. Graph. 2022 |
Virtual and augmented reality › immersive display
head-mounted display |
0.6 | 1 | 2022 | Design of a Pupil-Matched Occlusion-Capable Optical See-Through Wearable Display · IEEE Trans. Vis. Comput. Graph. 2022 |
Virtual and augmented reality › occlusion
mutual occlusion |
0.6 | 1 | 2022 | Design of a Pupil-Matched Occlusion-Capable Optical See-Through Wearable Display · IEEE Trans. Vis. Comput. Graph. 2022 |
Virtual and augmented reality › augmented reality display
optical see-through display |
0.6 | 1 | 2022 | Design of a Pupil-Matched Occlusion-Capable Optical See-Through Wearable Display · IEEE Trans. Vis. Comput. Graph. 2022 |
Computational photography and imaging › image acquisition › imaging system design
optical design |
0.2 | 1 | 2022 | Design of a Pupil-Matched Occlusion-Capable Optical See-Through Wearable Display · IEEE Trans. Vis. Comput. Graph. 2022 |
Methods — techniques the papers use, named apart from their topics
prototype implementation · 0.6optical architecture design · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Improving Ease and Fidelity of Identifying the Correct Patient Care Provider
Mugdha Joshi, Arjun Gokhale, Kelly Darmawan, Anoosha Moturu, Anna Pendrey, Nicholas Schwartz, Lauren Wozniak, Garrison Carlos, Austin Wilson, Gretchen Brown, Clifford A. Schmiesing |
AMIA | 9 |
| 2022 | Design of a Pupil-Matched Occlusion-Capable Optical See-Through Wearable DisplayabstractState-of-the-art optical see-through head-mounted displays (OST-HMD) for augmented reality applications lack the ability to correctly render light blocking behavior between digital and physical objects, known as mutual occlusion capability. In this article, we present a novel optical architecture for enabling a high performance, occlusion-capable optical see-through head-mounted display (OCOST-HMD). The design utilizes a single-layer, double-pass architecture, creating a compact OCOST-HMD that is capable of rendering per-pixel mutual occlusion, correctly pupil-matched viewing perspective between virtual and real scenes, and a wide see-through field of view (FOV). Based on this architecture, we present a design embodiment and a compact prototype implementation. The prototype demonstrates a virtual display with an FOV of 34° by 22°, an angular resolution of 1.06 arc minutes per pixel, and an average image contrast greater than 40 percent at the Nyquist frequency of 53 cycles/mm. Furthermore, the device achieves a see-through FOV of 90° by 50°, within which about 40° diagonally is occlusion-enabled, and has an angular resolution of 1.0 arc minutes (comparable to a 20/20 vision) and a dynamic range greater than 100:1. We conclude the paper with a quantitative comparison of the key optical performance such as modulation transfer function, image contrast, and color rendering accuracy of our OCOST-HMD system with and without occlusion enabled for various lighting environments. Austin Wilson, Hong Hua |
IEEE Trans. Vis. Comput. Graph. | 1 |