facial recognition

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FACIAL RECOGNITION Christina Carr, Becky Schaffran, & Tess Cimini

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Page 1: Facial recognition

FACIAL RECOGNITIONChristina Carr, Becky Schaffran, & Tess Cimini

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What is it?

Facial recognition systems are built on computer programs that analyze images of human faces for the purpose of identifying them.

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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

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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

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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

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Steps of 3D Recognition

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Uses

• Law Enforcement

• Casinos, Super Bowl, OlympicsSecurity

• Border control

• E-passportsTransportation

• Facebook

• SceneTapEntertainment

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Security

Closed-circuit television (CCTV)

Surveillance technology crosschecked with mugshotdatabases

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Security

Casinos

Super Bowl

Tampa, Fl. (2001): 19 people identified

London 2012 Olympics

MORIS

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Transportation

Germany: Fully automated border controls

Australia: SmartGate

Compares the face of the individual with image in the e-passport microchip

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Entertainment

Facebook Tag

Suggest

SceneTap

50 Chicago bars

Apps in progress

Apple

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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.”

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“Facial Recognition Technology Challenges Privacy”

http://abclocal.go.com/kgo/video?id=8425855&syndicate=syndicate&section

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Limitations

Not 100% accurate.

Accuracy can fluctuate because of:

picture quality

Lighting

camera positions

facial expressions

and more

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Security Issues

Mistaken identity cases

Images cannot be used to convict suspects

The CCTV cameras in London

1 crime solved per 1000 cameras

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CCTV Clip

http://www.youtube.com/watch?v=fLEtzI1oewI

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MORIS

Mobile Offender Recognition and Information System

Illegal search without a warrant

No information is stored

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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.

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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.

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Adam Harvey

•CV Dazzle

•Found ways to cheat face recognition

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WHAT DO YOU THINK?