Locally adjusted robust regression for human age estimation

被引：0

作者：

Guo, Guodong ^{[1
]}

Fu, Yun ^{[2
]}

Huang, Thomas S. ^{[2
]}

Dyer, Charles R. ^{[3
]}

机构：

[1] North Carolina Cent Univ, Comp Sci, Durham, NC 27707 USA

[2] UIUC, Beckman Inst, Urbana, IL 61801 USA

[3] Univ Wisconsin Madison, Comp Sci, Madison, WI 53706 USA

来源：

2008 IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：112 / +

页数：3

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