Age and gender estimation by modeling statistical relationships among faces

Takayuki Fujiwara; Hiroyasu Koshimizu

doi:10.1117/12.515223

1 May 2003 Age and gender estimation by modeling statistical relatioship among faces

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515223
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

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.

Citation Download Citation

Takayuki Fujiwara and Hiroyasu Koshimizu "Age and gender estimation by modeling statistical relatioship among faces", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515223

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