Locally Adjusted Robust Regression for Human Age Estimation

Locally Adjusted Robust Regression for Human Age Estimation

Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation problem is challenging. We design a locally adjusted robust regressor (LARR) for learning and prediction of human ages. The novel approach re...

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Bibliographic Details
Published in:2008 IEEE Workshop on Applications of Computer Vision pp. 1 - 6
Main Authors: Guodong Guo, Yun Fu, Huang, T.S., Dyer, C.R.
Format: Conference Proceeding
Language:English
Japanese
Published: IEEE 01-01-2008
Subjects:
Aging
Application software
Face
Human computer interaction
Image retrieval
Internet
Multimedia communication
Robustness
Shape measurement
Training data
Online Access:Get full text
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Summary:Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation problem is challenging. We design a locally adjusted robust regressor (LARR) for learning and prediction of human ages. The novel approach reduces the age estimation errors significantly over all previous methods. Experiments on two aging databases show the success of the proposed method for human aging estimation.
ISBN:1424419131
9781424419135
ISSN:1550-5790
2642-9381
DOI:10.1109/WACV.2008.4544009