Handheld Face Identification Technology in a Pervasive Computing Environment

نویسندگان

  • Eugene Weinstein
  • Purdy Ho
  • Bernd Heisele
  • Tomaso Poggio
  • Ken Steele
  • Anant Agarwal
چکیده

We describe initial efforts at implementing a flexible, modular face identification framework in the context of a pervasive computing environment including handheld computers. Currently, the handheld is used for image capture, while all computation is performed on a back-end server, though other possibilities are discussed. Handheld face identification is difficult due to limitations in processing power and variations in lighting and background conditions. Initial experimental data are presented, showing recognition accuracy of 95.6% for a three user domain, with 1.7 second identification latency. Work is underway to improve both accuracy and scalability.

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تاریخ انتشار 2002