@inproceedings{53506e05377a47c287f846bfd775ac09,
title = "An analysis of the influence of facial feature for apparent age estimation",
abstract = "The purpose of this paper is to analyze apparent age feature based on age perception. In order to construct the apparent age database, age estimation experiment is performed to the HOIP facial database by 60 subjects. We defined 46 age features which contribute to the age perception from facial image. This process is performed based on research on age acknowledgment in field psychology and technological conventional method about real-age estimation from facial image. The apparent age feature used potentially when human performs age estimation is decided from 46 defined features by using the AIC and the multiple linear regression analysis. By using the proposed method, facial features that influenced on the apparent age in each gender was confirmed.",
keywords = "Age estimation, Age preception, Component, Image processing",
author = "Hironori Takimoto and Hironobu Fukai and Yasue Mitsukura and Minoru Fukumi",
year = "2009",
doi = "10.1109/IIH-MSP.2009.204",
language = "English",
isbn = "9780769537627",
series = "IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing",
pages = "728--731",
booktitle = "IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing",
note = "IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing ; Conference date: 12-09-2009 Through 14-09-2009",
}