Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images

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16th International Conference on Pattern Recognition (ICPR'02) - Volume 1

Quebec City, QC, Canada

August 11-August 15

ISBN: 0-7695-1695-X

	ASCII Text	x
	Jun- ichiro Hayashi, Mamoru Yasumoto, Hideaki Ito, Hiroyasu Koshimizu, "Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images," Pattern Recognition, International Conference on, vol. 1, pp. 10405, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002.

	BibTex	x
	@article{ 10.1109/ICPR.2002.1044736, author = {Jun- ichiro Hayashi and Mamoru Yasumoto and Hideaki Ito and Hiroyasu Koshimizu}, title = {Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2002}, issn = {1051-4651}, pages = {10405}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044736}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images SN - 1051-4651 SP EP A1 - Jun- ichiro Hayashi, A1 - Mamoru Yasumoto, A1 - Hideaki Ito, A1 - Hiroyasu Koshimizu, PY - 2002 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Jun- ichiro Hayashi, Chukyo University

Mamoru Yasumoto, Softopia Japan and JST

Hideaki Ito, Chukyo University

Hiroyasu Koshimizu, Chukyo University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044736

We are researching about an age and gender estimation based on wrinkle texture and color of facial images. Preliminary questionnaire (enquete) examination how effectively the facial images could be used for gender and age estimations was executed by using 300 different faces and 21 examinees. Wrinkles appeared in the face and the shape and size of the facial parts are selected to model the age and gender estimation in this research basing on this enquete. Basing on this preliminal consideration, an image processing algorithm for wrinkle modeling was proposed in this paper. In addition, a method for making relationships between facial images and their keywords was proposed by using the latent semantic indexing. An efficient interface for displaying the relationships among keywords and facial images has been introduced with 2D/3D-feature space defined by the indexing.

Citation:

Jun- ichiro Hayashi, Mamoru Yasumoto, Hideaki Ito, Hiroyasu Koshimizu, "Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images," icpr, vol. 1, pp.10405, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002

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