English(EN) CVBL-CCTV-Face Dataset for Real-World Face Enhancement and Recognition in Surveillance

新数据集和框架应对低质量监控人脸识别难题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 04:00

研究人员推出了 CVBL-CCTV-Face 数据集，旨在提高真实世界监控场景中的人脸增强和识别能力。该数据集将来自 CCTV 摄像头的低质量图像与高质量参考图像配对。提出的框架利用人脸检测、用于超分辨率的深度学习以及用于身份识别的嵌入模型，以应对低分辨率和运动模糊等挑战。 AI

影响通过提高在挑战性条件下的面部识别准确性，增强了人工智能驱动的监控系统的能力。

排序理由该集群描述了一个用于计算机视觉研究的新数据集和框架，该研究发表在 arXiv 论文中。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Manish Das, Ajay Kumar Yadav, Shiv Ram Dubey, Satish Kumar Singh · 2026-10-28 04:00

用于真实世界人脸增强和监控人脸识别的CVBL-CCTV-Face数据集

arXiv:2610.36781v1 Announce Type: new Abstract: In real-world surveillance settings, facial captures from closed-circuit television systems suffer from degradations such as low resolution, motion blur, noise, and occlusions, which undermine dependable face recognition. In this st…