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English(EN) Authentication of Copy Detection Patterns via Cross-Camera Dual-Synthetic Referencing

新AI框架增强复制检测模式认证

研究人员开发了一种使用复制检测模式(CDP)认证物理对象的新框架。该方法采用基于深度学习的翻译器,通过联合使用数字模板和CDP的已注册捕获来生成高质量的参照。实验表明,这种双合成参照即使在CDP区域有限或在低端设备上也能提高认证性能和对复制攻击的鲁棒性。 AI

影响 通过先进的AI技术增强实体商品的安全性与认证能力。

排序理由 该集群包含一篇详细介绍新研究框架的学术论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Ivan Oleksiyuk, Roman Chaban, Slava Voloshynovskiy ·

    Authentication of Copy Detection Patterns via Cross-Camera Dual-Synthetic Referencing

    arXiv:2605.31292v1 Announce Type: new Abstract: Copy Detection Patterns (CDPs) are structures printed on physical objects to enable cost-effective authentication. Verification is achieved by comparing a captured image with the digital template from which the CDP was printed. In p…

  2. arXiv cs.CV TIER_1 English(EN) · Slava Voloshynovskiy ·

    Authentication of Copy Detection Patterns via Cross-Camera Dual-Synthetic Referencing

    Copy Detection Patterns (CDPs) are structures printed on physical objects to enable cost-effective authentication. Verification is achieved by comparing a captured image with the digital template from which the CDP was printed. In practice, printer stochasticity and camera distor…