facial recognition
TRANSCRIPT
FACIAL RECOGNITIONChristina Carr, Becky Schaffran, & Tess Cimini
What is it?
Facial recognition systems are built on computer programs that analyze images of human faces for the purpose of identifying them.
How does it work?
Measure specific facial characteristics to create unique file called “template”
Using templates, compare image to another image Produces a score on similarity Video camera signals Pre-existing photos
i.e. drivers license databases
2D Facial Recognition
2D Recognition Maximum angle: 35 degrees Must be similar to program in database Sometimes ineffective due to lighting
changes and other uncontrolled variables
3D Recognition
3D Recognition Can create template from face at 90
degree angle More accurate Uses depth and an axis of measurement
not affected by lighting Example: Identix® - FaceIt®
Landmarks or nodal points And now: FaceIt®Argus, skin biometrics
Steps of 3D Recognition
Uses•Law
Enforcement
•Casinos, Super Bowl, Olympics
Security
•Border control
•E-passports
Transportation
•SceneTap
Entertainment
Security
Closed-circuit television (CCTV) Surveillance technology crosschecked with
mugshot databases
Security
Casinos Super Bowl
Tampa, Fl. (2001): 19 people identified London 2012 Olympics MORIS
Transportation
Germany: Fully automated border controls
Australia: SmartGate Compares the face of the individual with
image in the e-passport microchip
Entertainment
Facebook Tag Suggest
SceneTap 50 Chicago bars
Apps in progress Apple
New Developments
ATM’s Advertising & marketing
“Adidas is working with Intel to install and test digital walls with facial recognition in a handful of stores either in the U.S. or Britain. If a woman in her 50s walks by and stops, 60% of the shoes displayed will be for females in her age bracket, while the other 40% will be a random sprinkling of other goods.
‘If a retailer can offer the right products quickly, people are more likely to buy something,’ said Chris Aubrey, vice president of global retail marketing for Adidas.”
“Facial Recognition Technology Challenges Privacy”
http://abclocal.go.com/kgo/video?id=8425855&syndicate=syndicate§ion
Limitations
Not 100% accurate. Accuracy can fluctuate because of:
picture quality Lighting camera positions facial expressions and more
Security Issues
Mistaken identity cases Images cannot be used to convict
suspects The CCTV cameras in London
1 crime solved per 1000 cameras
CCTV Clip
http://www.youtube.com/watch?v=fLEtzI1oewI
MORIS
Mobile Offender Recognition and Information System
Illegal search without a warrant No information is stored
Has roughly 600 million users that means that Facebook has a
database of 600 million faces. Each time you “tag” a photo,
Facebook learns more about your face.
Picasa uses the same tagging techniques
People fear a face recognition update to the app Google Goggles. the app may even be able to identify
peoples SSNs just from the photo.
Adam Harvey
•CV Dazzle•Found ways to cheat face recognition
WHAT DO YOU THINK?