研究人员开发了一个名为IMPOSE的新框架，用于生成保持身份一致性的逼真、多姿态非接触式指纹样本。该方法解决了自由手指姿态在三维空间中出现的显著几何畸变问题，这对现有的识别模型构成了挑战。该框架通过潜在扩散、跨模态翻译和基于物理的模拟来合成数据，旨在提高非接触式指纹识别系统的准确性。 AI
影响 这种合成数据生成技术可以提高生物识别系统的鲁棒性和准确性。
排序理由 这是一篇详细介绍用于特定AI应用合成数据新框架的研究论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2605.03830v1 Announce Type: new Abstract: Contactless fingerprint recognition has gained increasing attention due to its advantages in hygiene and acquisition flexibility. However, the absence of physical contact constraints introduces severe nonlinear geometric distortions…
Contactless fingerprint recognition has gained increasing attention due to its advantages in hygiene and acquisition flexibility. However, the absence of physical contact constraints introduces severe nonlinear geometric distortions caused by free finger poses in 3D space, result…