Tracking-Tolerant Visual Cryptography
Tracking-Tolerant Visual Cryptography
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DOI：
10.1109/vr.2019.8797924
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发表时间：
2019-03
期刊：
影响因子：
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通讯作者：
Ruofei Du;Eric Lee;A. Varshney
中科院分区：
文献类型：
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作者：
Ruofei Du;Eric Lee;A. Varshney
我们介绍了一种新颖的安全显示系统，该系统使用可视化的直觉密码[4]具有跟踪的耐受性。我们的系统带来了从文本到虚拟世界的密码隐私[3]。就像传统的加密一样，我们的系统使用了两个用于视觉解密数据所必需的图像。可以在打印页面，传统显示器（桌面，平板电脑或智能手机）或多参与者虚拟世界上广泛共享公共图像，而其他私人图像则可以独家放在用户的个人AR或VR显示屏上。只有收件人能够通过融合这两个图像来视觉上解密数据。与先前的艺术相反，我们的系统能够提供跟踪耐受性，从而使其在现代VR和AR系统中更加可用。我们将头部或身体抖动引起的未对准的可能性建模为高斯分布。我们的算法使用归一化概率扩散了第二张图像，从而使视觉加密术可以容忍由于跟踪而导致的对齐误差。
We introduce a novel secure display system, which uses visual cryptography [4] with tolerance for tracking. Our system brings cryptographic privacy from text to virtual worlds [3]. Much like traditional encryption that uses a public key and a private key, our system uses two images that are both necessary for visual decryption of the data. The public image could be widely shared on a printed page, on a traditional display (desktop, tablet, or smartphone), or in a multi-participant virtual world, while the other private image can be exclusively on a user's personal AR or VR display. Only the recipient is able to visually decrypt the data by fusing both images. In contrast to prior art, our system is able to provide tracking tolerance, making it more practically usable in modern VR and AR systems. We model the probability of misalignment caused by head or body jitter as a Gaussian distribution. Our algorithm diffuses the second image using the normalized probabilities, thus enabling the visual cryptography to be tolerant of alignment errors due to tracking.