Locally adjusted robust regression for human age estimation

Guodong Guo, Yun Fu, Thomas S. Huang, Charles R. Dyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2008 IEEE Workshop on Applications of Computer Vision, WACV
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE Workshop on Applications of Computer Vision, WACV - Copper Mountain, CO, United States
Duration: Jan 7 2008Jan 9 2008

Publication series

Name2008 IEEE Workshop on Applications of Computer Vision, WACV

Other

Other2008 IEEE Workshop on Applications of Computer Vision, WACV
Country/TerritoryUnited States
CityCopper Mountain, CO
Period1/7/081/9/08

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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