An analysis of the influence of facial feature for apparent age estimation

Hironori Takimoto, Hironobu Fukai, Yasue Mitsukura, Minoru Fukumi

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

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Pages728-731
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing - Kyoto, Japan
Duration: 2009 Sep 122009 Sep 14

Other

OtherIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
CountryJapan
CityKyoto
Period09/9/1209/9/14

Fingerprint

Linear regression
Regression analysis
Experiments

Keywords

  • Age estimation
  • Age preception
  • Component
  • Image processing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Takimoto, H., Fukai, H., Mitsukura, Y., & Fukumi, M. (2009). An analysis of the influence of facial feature for apparent age estimation. In IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (pp. 728-731). [5337270] https://doi.org/10.1109/IIH-MSP.2009.204

An analysis of the influence of facial feature for apparent age estimation. / Takimoto, Hironori; Fukai, Hironobu; Mitsukura, Yasue; Fukumi, Minoru.

IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. 2009. p. 728-731 5337270.

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

Takimoto, H, Fukai, H, Mitsukura, Y & Fukumi, M 2009, An analysis of the influence of facial feature for apparent age estimation. in IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing., 5337270, pp. 728-731, IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kyoto, Japan, 09/9/12. https://doi.org/10.1109/IIH-MSP.2009.204
Takimoto H, Fukai H, Mitsukura Y, Fukumi M. An analysis of the influence of facial feature for apparent age estimation. In IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. 2009. p. 728-731. 5337270 https://doi.org/10.1109/IIH-MSP.2009.204
Takimoto, Hironori ; Fukai, Hironobu ; Mitsukura, Yasue ; Fukumi, Minoru. / An analysis of the influence of facial feature for apparent age estimation. IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. 2009. pp. 728-731
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