QR-Tag: Angular Measurement and Tracking with a QR-Design Marker
Simeng Qiu Hadi Amata Wolfgang Heidrich
Directional information measurement has many applications in domains such as
robotics, virtual and augmented reality, and industrial computer vision.
Conventional methods either require pre-calibration or necessitate controlled
environments. The state-of-the-art MoireTag approach exploits the Moire effect
and QR-design to continuously track the angular shift precisely. However, it is
still not a fully QR code design. To overcome the above challenges, we propose
a novel snapshot method for discrete angular measurement and tracking with
scannable QR-design patterns that are generated by binary structures printed on
both sides of a glass plate. The QR codes, resulting from the parallax effect
due to the geometry alignment between two layers, can be readily measured as
angular information using a phone camera. The simulation results show that the
proposed non-contact object tracking framework is computationally efficient
with high accuracy.