An End-to-End Autofocus Camera for Iris on the Move | |
Wang, Leyuan1,2,3; Zhang, Kunbo1,2,3; Wang, Yunlong1,2,3; Sun, Zhenan1,2,3 | |
2021-07-20 | |
会议名称 | 2021 IEEE International Joint Conference on Biometrics (IJCB) |
会议日期 | 4-7 Aug. 2021 |
会议地点 | Shenzhen, China |
摘要 | For distant iris recognition, a long focal length lens is generally used to ensure the resolution of iris images, which reduces the depth of field and leads to potential defocus blur. To accommodate users standing statically at different distances, it is necessary to control focus quickly and accurately. And for users in motion, it is also expected to acquire a sufficient amount of accurately focused iris images. In this paper, we introduced a novel rapid autofocus camera for active refocusing of the iris area of the moving objects with a focus-tunable lens. Our end-to-end computational algorithm can predict the best focus position from one single blurred image and generate the proper lens diopter control signal automatically. This scene-based active manipulation method enables real-time focus tracking of the iris area of a moving object. We built a testing bench to collect real-world focal stacks for evaluation of the autofocus methods. Our camera has reached an autofocus speed of over 50 fps. The results demonstrate the advantages of our proposed camera for biometric perception in static and dynamic scenes. The code is available at https://github.com/Debatrix/AquulaCam. |
DOI | 10.1109/IJCB52358.2021.9484340 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 生物特征识别 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/45472 |
专题 | 智能感知与计算 |
作者单位 | 1.Center for Research on Intelligent Perception and Computing 2.National Lab of Pattern Recognition 3.Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, Leyuan,Zhang, Kunbo,Wang, Yunlong,et al. An End-to-End Autofocus Camera for Iris on the Move[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
An_End-to-End_Autofo(11394KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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