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Proceedings Paper

Age and gender estimation by modeling statistical relatioship among faces
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Paper Abstract

Caricature is affected strongly by the attribute relationship between input face and mean face. This paper proposes a method of facial attribute classification by means of the statistics of many mean faces and an input face. These processes are made up by the estimation function of the input face and the attribute matrix which is defined by the distances of all feature points of the face and its variances. There should be many attribute matrices characterized by the different age and different gender set of faces. This proposal delivered the expected results enough for the automation of the mean face selection and clarification as the new caricature generation principle.

Paper Details

Date Published: 1 May 2003
PDF: 8 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.515223
Show Author Affiliations
Takayuki Fujiwara, Chukyo Univ. (Japan)
Hiroyasu Koshimizu, Chukyo Univ. (Japan)


Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin; Fabrice Meriaudeau, Editor(s)

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