CASIA OpenIR  > 智能感知与计算
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.

DOI10.1109/IJCB52358.2021.9484340
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收录类别EI
语种英语
七大方向——子方向分类生物特征识别
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
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
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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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