Project Title: Face Recognition

• Given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces. Using either (a) Statistical Methods such as template matching or projection based methods (b) Artificial Neural Networks based on Geometrical local feature based techniques or Holistic-based ANN.
• Typical Applications:
  1. Entertainment, Video games, Virtual reality, Human robot interaction
  2. Smart Cards, Driver's licences, immigration, voter registration
  3. Law Enforcement, advanced video surveillance, shoplifting.
• Resources:
  1. Face Recognition Resources
  2. Other Useful Links
  3. PPT Presentation on Face Recognition (ICM2004)
  4. Paper by Shaw Li on Face Recognition ICM'04
  5. Thesis by Shaw Li (Previous Student) on Face Recognition)
• Faculty advisor(s): Shawki Areibi
• Students:

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This page is maintained by Shawki Areibi, sareibi@uoguelph.ca
Last modified Sept. 2019