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Artificial Markers: A Comprehensive Systematic Review and Design Framework
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DOI：10.1145/3793661.png)
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Abstract
En 中文
Applications using fiducial markers have evolved across sectors such as industry, health, and education. Markers are effective because their highly distinguishable visual patterns and varied morphologies allow for high-accuracy pose estimation. However, designing a robust fiducial marker system is difficult and requires specific strategies to ensure reliability for applications such as photogrammetry and robot localization. This study aims to address this challenge through a systematic study of 88 articles selected using snowball methodology. This study focused on marker design characteristics to analyze different types of robustness. The goal of this study was to formally define fiducial markers, explore their intrinsic and extrinsic characteristics, and produce a taxonomy covering morphological and algorithmic aspects. The primary outcome is a comprehensive taxonomy and theoretical framework that provides best practices, guiding researchers in developing or employing robust fiducial markers tailored to their specific applications.
Keywords:
Markers
taxonomy
robustness
morphology
encode
snowballing
Journal
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28
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2.4K
Citations:
3.5W
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