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CMU-CS-02-131
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-02-131
Face as an Index:
Knowing Who Is Who Using a PDA
Jie Yang, Xilin Chen, William Kunz, Harsh Kundra
April 2002
CMU-CS-02-131.ps
CMU-CS-02-131.pdf
Keywords:
In this report, 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.
26 pages
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