1. Identify face from photos or videos
1.1. Face prints in database
1.1.1. identified by nodal points
1.1.1.1. Distance between eyes
1.1.1.2. Width of the nose
1.1.1.3. Depth of the eye sockets
1.1.1.4. The shape of the cheekbones
1.1.1.5. The length of the jaw line
2. Applications
2.1. Security
2.1.1. video surveillance
2.2. Taking attendance
2.3. Fight crimes
2.4. Advertising
2.4.1. Interaction games
2.4.2. Virtual dressing room
2.5. Entertaining
2.5.1. Facebook's auto tagging
2.5.2. APPS that adding effects to photos
2.6. Identify identities
2.6.1. Unlock iPhone
2.6.2. Home security
3. History
3.1. Traditional FR system
3.1.1. base on 2D image
3.1.2. easily affected by light &angle
3.2. 3D FR system
3.2.1. identify nodal points
3.2.1.1. compare with the face print in the database
3.2.2. more accurate
3.2.3. not affected by light&angle
4. Views
4.1. Advantages
4.1.1. Accurate
4.1.1.1. a large database
4.1.2. Widely used
4.1.2.1. e.g. Airport, Shopping malls
4.1.3. Easy to use
4.1.4. Fast detection
4.1.4.1. Unlock iPhone in a short time
4.2. Disadvantages
4.2.1. Identity theft
4.2.1.1. Getting face information without permission
4.2.2. Still have loopholes
4.2.2.1. after make-up or plastic surgery
4.2.3. Misidentify
4.2.3.1. twins or similar face shape
4.2.4. Cannot identify real person/photo
4.2.4.1. use photo to unlock the phone