PolarTag: Invisible Data with Light Polarization
PolarTag: Invisible Data with Light Polarization
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DOI：
10.1145/3376897.3377854
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发表时间：
2020-02
期刊：
影响因子：
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通讯作者：
Tian Zhao;Charles J. Carver;Qijia Shao;Monika Roznere;Alberto Quattrini Li;Xia Zhou
中科院分区：
文献类型：
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作者：
Tian Zhao;Charles J. Carver;Qijia Shao;Monika Roznere;Alberto Quattrini Li;Xia Zhou
视觉标签(如条形码、二维码)在现代生活中无处不在，尽管它们依赖于引人注目的几何图案来编码数据，从而降低了整体用户体验。我们提出了一种无源视觉标签的新范例，它利用光的偏振来使用廉价的、广泛可用的组件来对数据进行潜意识的编码。标签及其数据可以使用现成的相机从背景场景中提取出来，相机镜头上安装了廉价的LCD快门。我们用真实世界的实验来检验这种设计的可行性。初步结果表明，在3.0~m的距离内为零误码，角度检测范围为110，并且对多种环境光和遮挡场景具有健壮性。
Visual tags (e.g., barcodes, QR codes) are ubiquitous in modern day life, though they rely on obtrusive geometric patterns to encode data, degrading the overall user experience. We propose a new paradigm of passive visual tags which utilizes light polarization to imperceptibly encode data using cheap, widely-available components. The tag and its data can be extracted from background scenery using off-the-shelf cameras with inexpensive LCD shutters attached atop camera lenses. We examine the feasibility of this design with real-world experiments. Initial results show zero bit errors at distances up to 3.0~m, an angular-detection range of \ang110, and robustness to manifold ambient light and occlusion scenarios.