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Facial Recognition Systems

Facial Recognition Systems. By Derek Ciocca. Parts of the system Improving Accuracy Current and future uses. Parts of the System. The camera to take the pictures The database to retrieve photos The ‘algorithm’ to compare the current photo to past photos. Basic theory.

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Facial Recognition Systems

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  1. Facial Recognition Systems By Derek Ciocca

  2. Parts of the system • Improving Accuracy • Current and future uses

  3. Parts of the System • The camera to take the pictures • The database to retrieve photos • The ‘algorithm’ to compare the current photo to past photos

  4. Basic theory • Distinctive facial features measured • Distance between eyes • Width of nose • Length of the jaw-line • Approx. 80 different points

  5. Problems with 2D Pictures • Very sensitive to light & shadow • Picture had to be straight on • Sensitive to changes in facial expression

  6. 3D facial recognition

  7. Surface Texture Analysis • Measures color and texture of skin • More tolerant to changes in facial expression, hair, and accessories • Improvement of 20-25%

  8. Current & Future Uses • Security • Used at Super Bowl XXXV • Airports • ATM verification (future) • Advertisements

  9. Any Questions?

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