MoiréBoard: a stable, accurate and cheap camera tracking method
Chang Xiao, Changxi Zheng

UIST'21: ACM Symposium on User Interface Software and Technology
Session: Movement registration

Abstract
Camera tracking is an essential building block in a wide range of HCI applications. For example, commercial VR devices are equipped with special hardware, such as laser-emitting beacon stations, to enable accurate tracking of VR headsets. However, this hardware remains expensive. On the other hand, cheap solutions such as IMU sensors and visual markers exist, but they suffer from large tracking errors. In this work, we bring together high accuracy and low cost to present MoiréBoard, a novel 3-DOF camera position tracking method that takes advantage of a seemingly irrelevant visual phenomenon, the moiré effect. Based on a systematic analysis of the moiré effect under camera projection, MoiréBoard requires no power or camera calibration. It can be easily made at low cost (for example by 3D printing), ready to use with all common mobile devices with a camera. The tracking algorithm is computationally efficient and can operate at a high frame rate. Although simple to implement, it tracks devices with high accuracy, comparable to state-of-the-art commercial VR tracking systems.

DOI: https://doi.org/10.1145/3472749.3474793
WEB:: https://uist.acm.org/uist2021/

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