facial recognition
TRANSCRIPT
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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, Olympics
Security
•Border control
•E-passports
Transportation
•SceneTap
Entertainment
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Security
Closed-circuit television (CCTV) Surveillance technology crosschecked with
mugshot databases
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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§ion
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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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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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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?