Please use this identifier to cite or link to this item: https://doi.org/10.1145/3569479
Title: RetroSphere: Self-Contained Passive 3D Controller Tracking for Augmented Reality
Authors: Balaji, AN 
Kimber, C
Li, D
Wu, S
Du, R
Kim, D
Issue Date: 11-Jan-2023
Publisher: Association for Computing Machinery (ACM)
Citation: Balaji, AN, Kimber, C, Li, D, Wu, S, Du, R, Kim, D (2023-01-11). RetroSphere: Self-Contained Passive 3D Controller Tracking for Augmented Reality. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6 (4) : 1-36. ScholarBank@NUS Repository. https://doi.org/10.1145/3569479
Abstract: Advanced AR/VR headsets often have a dedicated depth sensor or multiple cameras, high processing power, and a high-capacity battery to track hands or controllers. However, these approaches are not compatible with the small form factor and limited thermal capacity of lightweight AR devices. In this paper, we present RetroSphere, a self-contained 6 degree of freedom (6DoF) controller tracker that can be integrated with almost any device. RetroSphere tracks a passive controller with just 3 retroreflective spheres using a stereo pair of mass-produced infrared blob trackers, each with its own infrared LED emitters. As the sphere is completely passive, no electronics or recharging is required. Each object tracking camera provides a tiny Arduino-compatible ESP32 microcontroller with the 2D position of the spheres. A lightweight stereo depth estimation algorithm that runs on the ESP32 performs 6DoF tracking of the passive controller. Also, RetroSphere provides an auto-calibration procedure to calibrate the stereo IR tracker setup. Our work builds upon Johnny Lee's Wii remote hacks and aims to enable a community of researchers, designers, and makers to use 3D input in their projects with affordable off-the-shelf components. RetroSphere achieves a tracking accuracy of about 96.5% with errors as low as ∼3.5 cm over a 100 cm tracking range, validated with ground truth 3D data obtained using a LIDAR camera while consuming around 400 mW. We provide implementation details, evaluate the accuracy of our system, and demonstrate example applications, such as mobile AR drawing, 3D measurement, etc. with our Retrosphere-enabled AR glass prototype.
Source Title: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
URI: https://scholarbank.nus.edu.sg/handle/10635/237303
ISSN: 2474-9567
DOI: 10.1145/3569479
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