facial recognition

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

•Facebook

•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&section

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

Facebook

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.

Google

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?