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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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
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Abstract 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.
AbstractList 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.
Author Dyer, C.R.
Guodong Guo
Huang, T.S.
Yun Fu
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Snippet Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation...
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SubjectTerms Aging
Application software
Face
Human computer interaction
Image retrieval
Internet
Multimedia communication
Robustness
Shape measurement
Training data
Title Locally Adjusted Robust Regression for Human Age Estimation
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