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Real-Time Face Tracking System for Augmented Reality

[+] Author Affiliations
Yi-Ting Tu, Shana Smith

National Taiwan University, Taipei, Taiwan

Paper No. DETC2009-87684, pp. 1639-1646; 8 pages
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4899-9 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME


In this paper, we apply augmented reality technology to make human computer interface more technically advanced and interesting. We present a real-time face tracking system for augmented reality, which will be used in electronic commerce, to help shoppers acquire a more direct interaction with the products they purchase. A real-time face tracking mechanism can enhance the realism of online shopping. In order to emphasize the convenience and practicability of our system, we used plug-in functions and Principal Component Analysis (PCA) to conduct real-time face tracking and Neural Networks (NN) to reduce training time and achieve valid recognition. Convenience and uniqueness are the other main parts of this system.

Copyright © 2009 by ASME



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