@inproceedings{1c8bad50cb9749aa8a923b27ee08065b,
title = "Feasibility of Real Time 3D Object Detection for Accessibility Use Cases",
abstract = "Augmented Reality (AR) holds promise for improving visibility and accessibility of real-world objects. AR systems, however, often rely on 2D overlays or marker-based methods, which face limitations such as camera's poor performance in low-light. We present a new approach to improve visual accessibility in AR. We developed a Unity-based application for the HoloLens 2, integrating Azure Object Anchors (AOA) for real-time 3D object detection with depth sensors. Using pre-scanned 3D models, the application detects and then projects virtual overlays on objects to increase their visibility while also logging eye gaze and spatial movement to enable evaluation of user interactions.",
keywords = "Accessibility, Augmented Reality, Visual Impairments",
author = "Ali, {Muhammad Haj} and Rafael Damouni and Amjad Nassar and Ilan Shimshoni and Szpiro, {Sarit F.A.}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 ; Conference date: 08-03-2025 Through 12-03-2025",
year = "2025",
doi = "10.1109/vrw66409.2025.00235",
language = "American English",
series = "Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1178--1179",
booktitle = "Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025",
address = "United States",
}