Face recognition Overview

1
Face recognition - Overview

• Biometrics
• Identify a person
• Humans are very good at it
• Quickly identify somebody
• Works from a distance

2
Face recognition - How it works

• Current Systems
• Recognise a face in image
• Measure up to 80 points on the face
• Distance between eyes
• Width of nose
• Depth of eye sockets
• Cheekbones
• Jaw line
• Chin

3
Face recognition - How it works

• Compares face print to database
• Can return a match based on only 20 points
• Returns best match
• Match verified by an operator

4
Face recognition - Standards

• 2D Image Standards
• Lighting
• Pose
• Facial Expression

5
Face recognition - Benefits

• Cannot be forgotten
• Works from a distance
• Can be used without peoples knowledge
• Can identify a person quickly

6
Face recognition Current uses

• Known uses
• CCTV systems
• Eliminating voter fraud
• Security ID
• Computer automation
• Biometric passports
• Crime solving

7
Face recognition Current problems

• Faces must point towards camera
• Image quality
• Very similar looking people - Twins?
• 2D only Photographs
• Image altering
• Make up
• Ageing
• Plastic Surgery

8
Face recognition 2.5D

• 2.5D
• 2D measurements
• Mapping to 3D blank model
• Semi 3D model (2.5D)
• Inconsistencies
• Facial Shape
• Feature Positions

9
Face recognition Future uses

• 3D Face printing
• Integration with other biometric systems

10
Face recognition 3D

• Video
• Similar to 2D
• Multiple images of face
• Create 3D model

11
Face recognition - Ethics

• Identifying and monitoring people without their
  knowledge
• Automatically adding to database
• Security of facial information
• Wrongful arrest/conviction

12
Face recognition - Summary

• Summary
• High computational cost
• Requires database access
• Potential inaccuracies
• Will be a part of day to day life