Who are you?: A wearable face recognition system to support human memory
Who are you?: A wearable face recognition system to support human memory
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DOI：
10.1145/2459236.2459262
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
Yuzuko Utsumi;Yuya Kato;K. Kunze;M. Iwamura;K. Kise
中科院分区：
文献类型：
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作者：
Yuzuko Utsumi;Yuya Kato;K. Kunze;M. Iwamura;K. Kise
你有没有过这样的经历，你记不起一个你再次见面的人的名字？为了避免这种尴尬的情况，如果你有一个系统，告诉你秘密的人的名字，那就太好了。在本文中，我们提出了一个可穿戴系统的实时人脸识别，以支持人类的记忆。本文的主要工作如下：（1）讨论了一个可穿戴系统的设计和实现细节，该系统能够通过基于视觉的实时人脸识别来增强人类的记忆。(2)我们提出了一种从粗到细的两步识别方法，以将执行时间提高到社会可接受的900 [ms]。(3)在实验中，我们评估的计算时间和识别率。实验结果表明，该系统能够在238 ms内完成人脸识别，第10阶的累积识别率为93.3%。实验结果表明，采用粗到细搜索的方法比不采用粗到细搜索的方法减少了668 ms，具有足够的真实的人脸识别能力。
Have you ever experienced that you cannot remember the name of a person you meet again? To circumvent such an awkward situation, it would be great if you had had a system that tells you the name of the person in secret. In this paper, we propose a wearable system of real-time face recognition to support human memory. The contributions of our work are summarized as follows: (1) We discuss the design and implementation details of a wearable system capable of augmenting human memory by vision-based realtime face recognition. (2) We propose a 2 step recognition approach from coarse-to-fine grain to boost the execution time towards the social acceptable limit of 900 [ms]. (3) In experiments, we evaluate the computational time and recognition rate. As results, the proposed system could recognize a face in 238 ms with the the cumulative recognition rate at the 10th rank was 93.3 %. Computational time with the coarse-to-fine search was 668 ms less than that without coarse-to-fine search and the results showed that the proposed system has enough ability to recognize faces in real time.