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Face as an Index: Knowing Who Is Who Using a PDA

机译:面对作为索引:知道谁在使用PDA

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In this article, we present a PDA-based system for extending human memory or/and information retrieval using a human face as the lookup index. The system can help a user to remember names of people whom he/she has met before and find useful information, such as names and research interests, about people whom he/she is interested in talking to. The system uses a captured face image as the lookup index to retrieve information from some available resource such as departmental directory, web sites, personal homepages, etc. We describe the development of a PDA-based face recognition system and introduce algorithms for image preprocessing to enhance the quality of the image by sharpening focus and normalizing both lighting condition and head rotation. We use a unified LDA/PCA algorithm for face recognition. We address design issues of the interface to assist in visualization and comprehension of retrieved information. We present user study and experiment results to demonstrate the feasibility of the proposed system.
机译:在本文中,我们提出了一个基于PDA的系统,用于扩展使用人脸作为查找索引的人的内存或/和信息检索。该系统可以帮助用户记住他/她以前见过的人的名字,并找到有关他/她有兴趣与之交谈的人的有用信息,例如名字和研究兴趣。该系统使用捕获的面部图像作为查找索引,以从某些可用资源(例如部门目录,网站,个人主页等)中检索信息。我们描述了基于PDA的面部识别系统的开发,并介绍了用于图像预处理的算法通过锐化焦点并规范照明条件和头部旋转来提高图像质量。我们使用统一的LDA / PCA算法进行人脸识别。我们致力于解决界面设计问题,以帮助可视化和理解检索到的信息。我们目前的用户研究和实验结果证明了该系统的可行性。

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