@inproceedings{0c9f17942b794ee6a6a0f1e869e2fdd1,
title = "A Scalable Tracking System Using Sparse Dot-Based Markers",
abstract = "Localization in large-scale environment is fundamental for high-degree-of-freedom augmented reality (AR) and virtual reality (VR) applications. However, achieving stable and cost-effective widearea tracking remains challenging, as existing methods often increase system cost and complexity when scaled to large spaces. This paper proposes a vision-based tracking system that encodes spatial relationships between markers to generate a planar layout. We propose a BiLSTM-based network for efficient marker recognition and introduce a robust rematching algorithm to enhance recognition accuracy. The proposed approach scales effectively with sparse markers while maintaining a high recognition rate.",
keywords = "dots identification, fiducial marker, layout generation, Tracking",
author = "Zhe Xie and Yue Liu and Dong Li",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 ; Conference date: 08-03-2025 Through 12-03-2025",
year = "2025",
doi = "10.1109/VRW66409.2025.00404",
language = "English",
series = "Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1516--1517",
booktitle = "Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025",
address = "United States",
}