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Biometrics for the Aging Face Face Aging Group www.faceaginggroup.com

Biometrics for the Aging Face Face Aging Group

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Page 1: Biometrics for the Aging Face Face Aging Group

Biometrics for the Aging Face

Face Aging Group www.faceaginggroup.com

Page 2: Biometrics for the Aging Face Face Aging Group

CSC 100

Lenovo FR Commercial

Biometrics in the War on Terror

Fri, 25 January 2008

Page 3: Biometrics for the Aging Face Face Aging Group

All great endeavors start with a single question.

How does the aging face affect face recognition technology?

Page 4: Biometrics for the Aging Face Face Aging Group

One question becomes many

How does the aging face affect face recognition technology?

What changes occur in the aging face? Does the skull change with age? Why does skin wrinkle? How does weight change affect the face? When do changes occur? How does all of this impact face recognition

systems?

Page 5: Biometrics for the Aging Face Face Aging Group

How do we answer the questions? Form an multidisciplinary team of experts

Computer

Science

Anthropology

Aging Face

Research

Mathematics

Eric Patterson Ph.D.

Midori Albert Ph.D.Edward Boone Ph.D.Virginia Commonwealth Univ.

Karl Ricanek, Jr. Ph.D.

Page 6: Biometrics for the Aging Face Face Aging Group

How do we answer the questions? Find monies to support the research $$

Who will fund this research? Military, Homeland Defense, Intelligence Agencies

Who is funding this project? National Security Agency and Central Intelligence

Agency

Page 7: Biometrics for the Aging Face Face Aging Group

What is face recognition? An automated technique for person

identification based on the appearance and configuration of the face.

Where is it used? Passport verification for all persons entering

the US. Locating known terrorists in high value public

areas. North Carolina driver’s license has capability.

Thurs, 25 October 2007

Page 8: Biometrics for the Aging Face Face Aging Group

Does the aging face affect face recognition technology?

Thurs, 25 October 2007

Male: 18 to 42 Female: 32 to 44

Page 9: Biometrics for the Aging Face Face Aging Group

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Age Progression

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LDA Rank 1

MAP Rank 1

ML Rank 1

PCA Rank 1

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The aging face Skin Skull Ethnic variations Gender variations Environment

Thurs, 25 October 2007

Page 11: Biometrics for the Aging Face Face Aging Group

Thurs, 25 October 2007

Digitally aging the face Demonstration of aging system developed by

the Face Aging Group at UNCW.

Page 12: Biometrics for the Aging Face Face Aging Group

Student learning through research The Face Aging Group is committed to

creating the next generation of scholars. Prior students

Robert Harrison CSC, Dean Berman CSC, Eric Putnam CSC, Chris Tice CSC, Jaewong Kim CSC, Melissa Tropay ANT, Jeff Kane ANT, and Pilar Waling BIO

Current students Bill Shipman MS CSIS, Seiken Higashionna MS

CSIS, Jessica Clifton ANT, Morgan Pereira ANT, Jessica Pittard ANT, and Adrianne Wells ANT

Thurs, 25 October 2007

Page 13: Biometrics for the Aging Face Face Aging Group

Coming attractions Face Recognition on your cell phone My Space and FaceBook using FR for

automatic image tagging Retail

Thurs, 25 October 2007