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3D face analysis for demographic biometrics...

by Ryan A Tokola, Aravind K Mikkilineni, Christopher B Boehnen
Publication Type
Conference Paper
Publication Date
Page Numbers
201 to 207
Conference Name
International Conference on Biometrics (ICB)
Conference Location
Phuket, Thailand
Conference Sponsor
IAPR
Conference Date
-

Despite being increasingly easy to acquire, 3D data is rarely used for face-based biometrics applications beyond identification. Recent work in image-based demographic biometrics has enjoyed much success, but these approaches suffer from the well-known limitations of 2D representations, particularly variations in illumination, texture, and pose, as well as a fundamental inability to describe 3D shape.

This paper shows that simple 3D shape features in a face-based coordinate system are capable of representing many biometric attributes without problem-specific models or specialized domain knowledge. The same feature vector achieves impressive results for problems as diverse as age estimation, gender classification, and race classification.