Facial Recognition Systems By Derek Ciocca

1.Parts of the system 2.Improving Accuracy 3.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 Distinctive facial features measured –Distance between eyes –Width of nose –Length of the jaw-line Approx. 80 different points

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

3D facial recognition

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

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

Any Questions?