Appearance-age feature extraction from facial image based on age perception

Hironori Takimoto; Tsubasa Kuwano; Yasue Mitsukura; Hironobu Fukai; Minoru Fukumi

doi:10.1109/SICE.2007.4421467

Appearance-age feature extraction from facial image based on age perception

Hironori Takimoto, Tsubasa Kuwano, Yasue Mitsukura, Hironobu Fukai, Minoru Fukumi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

An age is relatively important information in the various features which are shown human from face. It is possible to apply it to an amusement and an aesthetic surgery by analyzing the appearance-age feature which is used for age perception in a facial region. In this paper, we analyze facial feature of appearance-age based on age perception. In order to construct the appearance-age database, age estimation experiment is performed to the HOIP facial database by 15 subjects. The appearance-age feature used potentially when human performs age estimation is decided by using the Genetic Algorithms and the Neural Network. By using the proposed method, facial features that influenced on the appearance-age in each gender was confirmed. Moreover, it is suggested that that appearance-age feature which is used for age estimation is different in each generation when human performs age estimation.

Original language	English
Title of host publication	SICE Annual Conference, SICE 2007
Pages	2813-2816
Number of pages	4
DOIs	https://doi.org/10.1109/SICE.2007.4421467
Publication status	Published - 2007 Dec 1
Externally published	Yes
Event	SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan Duration: 2007 Sept 17 → 2007 Sept 20

Publication series

Name	Proceedings of the SICE Annual Conference

Other

Other	SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
Country/Territory	Japan
City	Takamatsu
Period	07/9/17 → 07/9/20

Keywords

Age estimation
Age perception
Image processing
Neural network

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2007.4421467

Cite this

Takimoto, H, Kuwano, T, Mitsukura, Y, Fukai, H & Fukumi, M 2007, Appearance-age feature extraction from facial image based on age perception. in SICE Annual Conference, SICE 2007., 4421467, Proceedings of the SICE Annual Conference, pp. 2813-2816, SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007, Takamatsu, Japan, 07/9/17. https://doi.org/10.1109/SICE.2007.4421467

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title = "Appearance-age feature extraction from facial image based on age perception",

abstract = "An age is relatively important information in the various features which are shown human from face. It is possible to apply it to an amusement and an aesthetic surgery by analyzing the appearance-age feature which is used for age perception in a facial region. In this paper, we analyze facial feature of appearance-age based on age perception. In order to construct the appearance-age database, age estimation experiment is performed to the HOIP facial database by 15 subjects. The appearance-age feature used potentially when human performs age estimation is decided by using the Genetic Algorithms and the Neural Network. By using the proposed method, facial features that influenced on the appearance-age in each gender was confirmed. Moreover, it is suggested that that appearance-age feature which is used for age estimation is different in each generation when human performs age estimation.",

keywords = "Age estimation, Age perception, Image processing, Neural network",

author = "Hironori Takimoto and Tsubasa Kuwano and Yasue Mitsukura and Hironobu Fukai and Minoru Fukumi",

year = "2007",

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doi = "10.1109/SICE.2007.4421467",

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TY - GEN

T1 - Appearance-age feature extraction from facial image based on age perception

AU - Takimoto, Hironori

AU - Kuwano, Tsubasa

AU - Mitsukura, Yasue

AU - Fukai, Hironobu

AU - Fukumi, Minoru

PY - 2007/12/1

Y1 - 2007/12/1

N2 - An age is relatively important information in the various features which are shown human from face. It is possible to apply it to an amusement and an aesthetic surgery by analyzing the appearance-age feature which is used for age perception in a facial region. In this paper, we analyze facial feature of appearance-age based on age perception. In order to construct the appearance-age database, age estimation experiment is performed to the HOIP facial database by 15 subjects. The appearance-age feature used potentially when human performs age estimation is decided by using the Genetic Algorithms and the Neural Network. By using the proposed method, facial features that influenced on the appearance-age in each gender was confirmed. Moreover, it is suggested that that appearance-age feature which is used for age estimation is different in each generation when human performs age estimation.

AB - An age is relatively important information in the various features which are shown human from face. It is possible to apply it to an amusement and an aesthetic surgery by analyzing the appearance-age feature which is used for age perception in a facial region. In this paper, we analyze facial feature of appearance-age based on age perception. In order to construct the appearance-age database, age estimation experiment is performed to the HOIP facial database by 15 subjects. The appearance-age feature used potentially when human performs age estimation is decided by using the Genetic Algorithms and the Neural Network. By using the proposed method, facial features that influenced on the appearance-age in each gender was confirmed. Moreover, it is suggested that that appearance-age feature which is used for age estimation is different in each generation when human performs age estimation.

KW - Age estimation

KW - Age perception

KW - Image processing

KW - Neural network

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ER -

Appearance-age feature extraction from facial image based on age perception

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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