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Activity Number: 380
Type: Contributed
Date/Time: Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #303921
Title: Age Estimation Techniques in Facial Recognition
Author(s): Fernando Schiefelbein*+
Companies: The University of North Carolina at Wilmington
Address: Dept. of Computer Science, Wilmington, NC, 28403,
Keywords: age ; forest ; SVR ; PCA ; face ; forensics
Abstract:

In recent years, age estimation has become an important tool for many companies and government agencies alike. Here I present a comparative analysis of different methods in age estimation based on a facial, digital, image of a given set of human subjects. After research in the way the human face ages, specific features of the face were chosen as the best sections to explain aging. Methods of analyzing our extracted data include, and not limited to, Random Forests, Support Vector Regression, Least Angle Regression and Principle Component Analysis.

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Revised September, 2008