QR-Tag: Angular Measurement and Tracking with a QR-Design Marker

TL;DR

This paper introduces QR-Tag, a novel method for discrete angular measurement and tracking using QR-design patterns printed on a glass plate, enabling efficient and accurate non-contact tracking with a phone camera.

Contribution

It presents a new snapshot approach utilizing binary-structured QR codes for precise angular tracking without prior calibration or controlled environments.

Findings

High accuracy in angular measurement demonstrated in simulations

Computationally efficient tracking framework

Effective non-contact object tracking using QR-Tag

Abstract

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.