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Computer Science > Computer Vision and Pattern Recognition

arXiv:2310.06109 (cs)
[Submitted on 9 Oct 2023]

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

Authors:Simeng Qiu, Hadi Amata, Wolfgang Heidrich
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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.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
Cite as: arXiv:2310.06109 [cs.CV]
  (or arXiv:2310.06109v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2310.06109

Submission history

From: Simeng Qiu [view email]
[v1] Mon, 9 Oct 2023 19:33:06 UTC (15,805 KB)
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