NDLI: Age categorization via ECOC with fused gabor and LBP features

Content Provider	IEEE Xplore Digital Library
Author	Jian-Gang Wang Wei-Yun Yau Hee Lin Wang
Copyright Year	2009
Description	Author affiliation: Institute for Infocomm Research, 1 Fusionpolis Way, #21-01, Connexis Singapore 138632, Singapore (Jian-Gang Wang; Wei-Yun Yau; Hee Lin Wang)
Abstract	Face image based age categorization is an approach to classify face images into one of several pre-defined age-groups. It is challenging because the aging variation is specific to a given individual and is determined by not only the person's gene, but also by many external factors, such as exposure, weather conditions (e.g. ambient humidity), health, gender, living style and living location. Age categorization is a multiclass problem. One of the AdaBoost or SVM extensions for solving the multiclass problem is the combination of the method of error-correcting output codes (ECOC) with boosting using a decision tree based classifier or binary SVM classifier. In this paper, we apply this extension to solve the age categorization problem. Gabor and LBP aging features are extracted and combined at the feature level to represent the face images. Experimental results on FG-NET and Morph database are reported to demonstrate its effectiveness and robustness. The ECOC can achieve nearly similar results when it was combined with AdaBoost or SVM. However, ECOC plus AdaBoost is much faster than ECOC plus SVM. The results obtained using the fused LBP and Gabor features are better than the one when using either LBP or Gabor alone.
Starting Page	1
Ending Page	6
File Size	199017
Page Count	6
File Format	PDF
ISBN	9781424454976
ISSN	15505790
e-ISBN	9781424454983
DOI	10.1109/WACV.2009.5403085
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Aging Support vector machine classification Classification tree analysis Humidity Boosting Decision trees Feature extraction Image databases Spatial databases
Content Type	Text
Resource Type	Article

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