Learning method of face classification apparatus, face...

Image analysis – Applications – Personnel identification

Reexamination Certificate

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C382S224000

Reexamination Certificate

active

07835549

ABSTRACT:
A plurality of different facial images is used to cause a face classification apparatus to learn a characteristic feature of a face by using a machine-learning method. Each of the facial images includes a face which has the same direction and the same angle of inclination as those of a face included in each of the other facial images and each of the facial images is limited to an image of a specific facial region. For example, the facial region is a predetermined region including only a specific facial part other than a region below an upper lip to avoid an influence of a change in facial expressions. Alternatively, if the apparatus is used to detect a frontal face and to perform refined detection processing on the extracted face candidate, a region including only an eye or eyes, a nose and an upper lip is used as the facial region.

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Decision of Rejection, dated May 11, 2010, issued in corresponding JP Application No. 2005-062644, 5 pages with partial English translation.

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